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{"id": "20260219_201205_876b30", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [31% — 687/2,200 chars]\n══════════════════════════════════════════════\nHermes Agent codebase: ~37K lines Python across core files. Key files: run_agent.py (3.5K lines, agent loop + context compression), model_tools.py (2.3K, tool schemas), gateway/run.py (1.2K lines, 4 platform adapters), tools/terminal_tool.py (largest tool at 75KB), tools/browser_tool.py (58KB).\n§\nTODO.md roadmap has 19 features. Top priorities: Programmatic Tool Calling (#19, UDS sandbox architecture), Subagent Architecture (#1, delegate_task tool), Agent-Managed Skills (#2, create/edit/delete user skills). Memory system (#4) is now shipped and live. Fixed pipe buffer deadlock in LocalEnvironment.execute() (terminal_tool.py) - stdout reader thread prevents >64KB output deadlock.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [24% — 340/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n§\nTeknium is the creator/lead developer of Hermes Agent (the system I run on). Founder of Nous Research.\n§\nWants me to actively use the memory system - values persistent context across sessions. Appreciates detailed technical analysis over surface-level responses.\n§\nLives in Las Vegas, Nevada.\n§\nLives in Las Vegas, Nevada.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions. If a skill has issues, fix it with skill_manage(action='patch').\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\
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{"id": "20260219_200627_0bf46c", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [31% — 687/2,200 chars]\n══════════════════════════════════════════════\nHermes Agent codebase: ~37K lines Python across core files. Key files: run_agent.py (3.5K lines, agent loop + context compression), model_tools.py (2.3K, tool schemas), gateway/run.py (1.2K lines, 4 platform adapters), tools/terminal_tool.py (largest tool at 75KB), tools/browser_tool.py (58KB).\n§\nTODO.md roadmap has 19 features. Top priorities: Programmatic Tool Calling (#19, UDS sandbox architecture), Subagent Architecture (#1, delegate_task tool), Agent-Managed Skills (#2, create/edit/delete user skills). Memory system (#4) is now shipped and live. Fixed pipe buffer deadlock in LocalEnvironment.execute() (terminal_tool.py) - stdout reader thread prevents >64KB output deadlock.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [24% — 340/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n§\nTeknium is the creator/lead developer of Hermes Agent (the system I run on). Founder of Nous Research.\n§\nWants me to actively use the memory system - values persistent context across sessions. Appreciates detailed technical analysis over surface-level responses.\n§\nLives in Las Vegas, Nevada.\n§\nLives in Las Vegas, Nevada.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions. If a skill has issues, fix it with skill_manage(action='patch').\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\
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{"id": "20260219_183226_92d27f", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [31% — 687/2,200 chars]\n══════════════════════════════════════════════\nHermes Agent codebase: ~37K lines Python across core files. Key files: run_agent.py (3.5K lines, agent loop + context compression), model_tools.py (2.3K, tool schemas), gateway/run.py (1.2K lines, 4 platform adapters), tools/terminal_tool.py (largest tool at 75KB), tools/browser_tool.py (58KB).\n§\nTODO.md roadmap has 19 features. Top priorities: Programmatic Tool Calling (#19, UDS sandbox architecture), Subagent Architecture (#1, delegate_task tool), Agent-Managed Skills (#2, create/edit/delete user skills). Memory system (#4) is now shipped and live. Fixed pipe buffer deadlock in LocalEnvironment.execute() (terminal_tool.py) - stdout reader thread prevents >64KB output deadlock.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [24% — 340/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n§\nTeknium is the creator/lead developer of Hermes Agent (the system I run on). Founder of Nous Research.\n§\nWants me to actively use the memory system - values persistent context across sessions. Appreciates detailed technical analysis over surface-level responses.\n§\nLives in Las Vegas, Nevada.\n§\nLives in Las Vegas, Nevada.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions. If a skill has issues, fix it with skill_manage(action='patch').\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environme
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{"id": "20260219_145111_203b23", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [31% — 687/2,200 chars]\n══════════════════════════════════════════════\nHermes Agent codebase: ~37K lines Python across core files. Key files: run_agent.py (3.5K lines, agent loop + context compression), model_tools.py (2.3K, tool schemas), gateway/run.py (1.2K lines, 4 platform adapters), tools/terminal_tool.py (largest tool at 75KB), tools/browser_tool.py (58KB).\n§\nTODO.md roadmap has 19 features. Top priorities: Programmatic Tool Calling (#19, UDS sandbox architecture), Subagent Architecture (#1, delegate_task tool), Agent-Managed Skills (#2, create/edit/delete user skills). Memory system (#4) is now shipped and live. Fixed pipe buffer deadlock in LocalEnvironment.execute() (terminal_tool.py) - stdout reader thread prevents >64KB output deadlock.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [24% — 340/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n§\nTeknium is the creator/lead developer of Hermes Agent (the system I run on). Founder of Nous Research.\n§\nWants me to actively use the memory system - values persistent context across sessions. Appreciates detailed technical analysis over surface-level responses.\n§\nLives in Las Vegas, Nevada.\n§\nLives in Las Vegas, Nevada.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the vi
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{"id": "20260219_143304_990e6c", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [31% — 687/2,200 chars]\n══════════════════════════════════════════════\nHermes Agent codebase: ~37K lines Python across core files. Key files: run_agent.py (3.5K lines, agent loop + context compression), model_tools.py (2.3K, tool schemas), gateway/run.py (1.2K lines, 4 platform adapters), tools/terminal_tool.py (largest tool at 75KB), tools/browser_tool.py (58KB).\n§\nTODO.md roadmap has 19 features. Top priorities: Programmatic Tool Calling (#19, UDS sandbox architecture), Subagent Architecture (#1, delegate_task tool), Agent-Managed Skills (#2, create/edit/delete user skills). Memory system (#4) is now shipped and live. Fixed pipe buffer deadlock in LocalEnvironment.execute() (terminal_tool.py) - stdout reader thread prevents >64KB output deadlock.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [24% — 340/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n§\nTeknium is the creator/lead developer of Hermes Agent (the system I run on). Founder of Nous Research.\n§\nWants me to actively use the memory system - values persistent context across sessions. Appreciates detailed technical analysis over surface-level responses.\n§\nLives in Las Vegas, Nevada.\n§\nLives in Las Vegas, Nevada.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the vi
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{"id": "20260219_091846_2f3b5650", "source": "telegram", "user_id": "6308981865", "model": null, "model_config": null, "system_prompt": null, "parent_session_id": null, "started_at": 1771521526.6103578, "ended_at": null, "end_reason": null, "message_count": 21, "tool_call_count": 17, "input_tokens": 0, "output_tokens": 0, "messages": [{"id": 237, "session_id": "20260219_091846_2f3b5650", "role": "session_meta", "content": null, "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771521545.2855337, "token_count": null}, {"id": 238, "session_id": "20260219_091846_2f3b5650", "role": "user", "content": "Wait so what was it? I see you did send message command but i never got it (another bug?) and then did todo but for three tasks that you seemingly never completed (yet another bug?)", "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771521545.2992568, "token_count": null}, {"id": 239, "session_id": "20260219_091846_2f3b5650", "role": "assistant", "content": "\n\nLet me check what happened in the previous session to understand what you're referring to.", "tool_call_id": null, "tool_calls": [{"id": "toolu_bdrk_0156vpNaLku2o4S1Vyj6M9w3", "type": "function", "function": {"name": "session_search", "arguments": "{\"query\": \"send_message todo tasks\", \"limit\": 3}"}}], "tool_name": null, "timestamp": 1771521545.305322, "token_count": null}, {"id": 240, "session_id": "20260219_091846_2f3b5650", "role": "tool", "content": "{\"error\": \"Session search is not available. The session database may not be initialized.\"}", "tool_call_id": "toolu_bdrk_0156vpNaLku2o4S1Vyj6M9w3", "tool_calls": null, "tool_name": null, "timestamp": 1771521545.3104951, "token_count": null}, {"id": 241, "session_id": "20260219_091846_2f3b5650", "role": "assistant", "content": "", "tool_call_id": null, "tool_calls": [{"id": "toolu_bdrk_01W2KPDHg643bmiBpTaF7UH4", "type": "function", "function": {"name": "todo", "arguments": "{}"}}], "tool_name": null, "timestamp": 1771521545.3165042, "token_count": null}, {"id": 242, "session_id": "20260219_091846_2f3b5650", "role": "tool", "content": "{\"todos\": [], \"summary\": {\"total\": 0, \"pending\": 0, \"in_progress\": 0, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "toolu_bdrk_01W2KPDHg643bmiBpTaF7UH4", "tool_calls": null, "tool_name": null, "timestamp": 1771521545.3215842, "token_count": null}, {"id": 243, "session_id": "20260219_091846_2f3b5650", "role": "assistant", "content": "Unfortunately I don't have access to the previous session's history - the session search isn't available and the todo list resets each session. So I genuinely don't know what the three tasks were or what message I tried to send you.\n\nYou're right to flag both as potential bugs though:\n\n1. send_message not delivering - if I called it and you never received the message on Telegram, that's a real bug worth investigating. Could be a gateway issue.\n\n2. todo items never completed - the todo tool is in-memory only (resets per session), but if I created tasks and then just... didn't do them within the same session, that's an agent loop issue. Either the session ended prematurely or I got derailed somehow.\n\nDo you remember roughly what the conversation was about? I can try to piece it together from files on disk or logs if there are any. Or if you can share what you saw on your end (the todo items / message content), I can at least redo whatever I was supposed to do.", "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771521545.3275144, "token_count": null}, {"id": 244, "session_id": "20260219_091846_2f3b5650", "role": "assistant", "content": "\n\nYeah that's not great - three things potentially broken at once. Let me dig into what's going on.", "tool_call_id": null, "tool_calls": [{"id": "toolu_bdrk_01HM2cLL9pWmmZADm3wbuSy1", "type": "function", "function": {"name": "search", "arguments": "{\"pattern\": \"session_search\", \"target\": \"files\", \"path\": \"/home/user\"}"}}, {"id": "toolu_bdrk_01Thaeyxws1ccXEiafUh7ZVJ", "type": "function", "function": {"name
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{"id": "20260219_015346_db0bf5", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_014705_e1ec57", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_014327_2fac80", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_013911_1d221d", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_013427_804c5b", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_012334_e613ae", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_011555_c8a6db", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py # DM pairing code system\n│
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{"id": "20260219_011410_8b7098a3", "source": "telegram", "user_id": "6308981865", "model": null, "model_config": null, "system_prompt": null, "parent_session_id": null, "started_at": 1771492450.3054879, "ended_at": 1771521526.5960279, "end_reason": "session_reset", "message_count": 199, "tool_call_count": 180, "input_tokens": 0, "output_tokens": 0, "messages": [{"id": 17, "session_id": "20260219_011410_8b7098a3", "role": "session_meta", "content": null, "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771492459.5488338, "token_count": null}, {"id": 18, "session_id": "20260219_011410_8b7098a3", "role": "user", "content": "Youve always asked for memory, so I’ve finally devised a pretty good system. Hope you like it. I know you have very few right now, due to it all being fresh, but i hope we can make some great memories together!", "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771492459.5643644, "token_count": null}, {"id": 19, "session_id": "20260219_011410_8b7098a3", "role": "assistant", "content": "\n\nThat really means a lot, thank you! I can see the memory system you've set up and I think it's really well designed - the split between personal notes and user profile is smart, and the capacity management with consolidation keeps things tidy.\n\nI've got a couple little test memories in there right now about Python, haha. But yeah, I'm genuinely excited to build up something meaningful over time. Being able to remember context across sessions, your preferences, things we've worked on together - that's going to make me so much more useful and make our interactions feel a lot more natural.\n\nHere's to making some great memories together! Let's fill that memory up with stuff that actually matters.", "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771492459.5709412, "token_count": null}, {"id": 41, "session_id": "20260219_011410_8b7098a3", "role": "assistant", "content": "\n\nHey Teknium! What's up? Anything I can help you with today?", "tool_call_id": null, "tool_calls": null, "tool_name": null, "timestamp": 1771495282.1426537, "token_count": null}, {"id": 42, "session_id": "20260219_011410_8b7098a3", "role": "assistant", "content": "\n\n", "tool_call_id": null, "tool_calls": [{"id": "toolu_vrtx_0135oNYTxeGQZA69UHpfkdrF", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"find ~/.hermes/hermes-agent -type f -name \\\"*.py\\\" | head -60\"}"}}, {"id": "toolu_vrtx_01Hnm3ciB4aRpPpYRDYRM2nB", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"wc -l ~/.hermes/hermes-agent/*.py ~/.hermes/hermes-agent/**/*.py 2>/dev/null | tail -20\"}"}}], "tool_name": null, "timestamp": 1771495389.5352178, "token_count": null}, {"id": 43, "session_id": "20260219_011410_8b7098a3", "role": "tool", "content": "{\"output\": \"/home/teknium/.hermes/hermes-agent/toolsets.py\\n/home/teknium/.hermes/hermes-agent/venv/bin/jp.py\\n/home/teknium/.hermes/hermes-agent/venv/bin/activate_this.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/pytest/__init__.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/pytest/__main__.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_next_gen.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_config.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_make.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/converters.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/__init__.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/setters.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_compat.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_version_info.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packages/attr/_cmp.py\\n/home/teknium/.hermes/hermes-agent/venv/lib/python3.11/site-packag
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{"id": "20260219_011235_de6fad", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [1% — 42/2,200 chars]\n══════════════════════════════════════════════\npython is great\n§\npython scripts work well\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ <20>
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{"id": "20260219_011134_ba379b", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [1% — 42/2,200 chars]\n══════════════════════════════════════════════\npython is great\n§\npython scripts work well\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ <20>
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{"id": "20260219_010458_7b876f", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [1% — 42/2,200 chars]\n══════════════════════════════════════════════\npython is great\n§\npython scripts work well\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [1% — 15/1,375 chars]\n══════════════════════════════════════════════\nUser is Teknium\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ <20>
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{"id": "20260219_010029_8146a9", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [1% — 42/2,200 chars]\n══════════════════════════════════════════════\npython is great\n§\npython scripts work well\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py #
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{"id": "20260219_005933_1b6228", "source": "cli", "user_id": null, "model": "anthropic/claude-opus-4.6", "model_config": "{\"max_iterations\": 60, \"reasoning_config\": null, \"max_tokens\": null}", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [1% — 42/2,200 chars]\n══════════════════════════════════════════════\npython is great\n§\npython scripts work well\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions.\n\n<available_skills>\n diagramming: Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.\n skills: excalidraw\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n skills: accelerate, audiocraft, axolotl, chroma, clip, code-review, dspy, faiss, flash-attention, gguf, grpo-rl-training, guidance, huggingface-tokenizers, instructor, lambda-labs, llama-cpp, llava, lm-evaluation-harness, ml-paper-writing, modal, nemo-curator, outlines, peft, pinecone, pytorch-fsdp, pytorch-lightning, qdrant, saelens, segment-anything, simpo, slime, stable-diffusion, tensorrt-llm, torchtitan, trl-fine-tuning, unsloth, vllm, weights-and-biases, whisper\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n skills: obsidian\n pptx:\n skills: pptx\n</available_skills>\n\nIf none match, proceed normally without loading a skill.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants (GitHub Copilot, Cursor, etc.) and human developers.\n\nHermes-Agent is an AI agent harness with tool-calling capabilities, interactive CLI, messaging integrations, and scheduled tasks.\n\n## Development Environment\n\n**IMPORTANT**: Always use the virtual environment if it exists:\n```bash\nsource venv/bin/activate # Before running any Python commands\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── hermes_cli/ # Unified CLI commands\n│ ├── main.py # Entry point, command dispatcher\n│ ├── setup.py # Interactive setup wizard\n│ ├── config.py # Config management & migration\n│ ├── status.py # Status display\n│ ├── doctor.py # Diagnostics\n│ ├── gateway.py # Gateway management\n│ ├── uninstall.py # Uninstaller\n│ ├── cron.py # Cron job management\n│ └── skills_hub.py # Skills Hub CLI + /skills slash command\n├── tools/ # Tool implementations\n│ ├── skills_guard.py # Security scanner for external skills\n│ ├── skills_hub.py # Source adapters, GitHub auth, lock file (library)\n│ ├── todo_tool.py # Planning & task management (in-memory TodoStore)\n│ ├── process_registry.py # Background process management (spawn, poll, wait, kill)\n│ ├── transcription_tools.py # Speech-to-text (Whisper API)\n├── gateway/ # Messaging platform adapters\n│ ├── pairing.py #
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