- Add agent/embeddings.py with Embedder protocol, FastEmbedEmbedder, OpenAIEmbedder
- Factory function get_embedder() reads provider from config.yaml embeddings section
- Lazy initialization — no startup impact, model loaded on first embed call
- cosine_similarity() and cosine_similarity_matrix() utility functions included
- Add fastembed as optional dependency in pyproject.toml
- 30 unit tests, all passing
Closes#675
Authored by shitcoinsherpa. Imports winpty.PtyProcess on Windows instead
of ptyprocess.PtyProcess, and adds platform markers to the [pty] extra
so the correct package is installed automatically.
MCP tests import from mcp.types but mcp wasn't in the dev optional
dependencies. Fresh 'pip install -e .[dev]' setups failed 3 tests.
Based on PR #427 by @teyrebaz33 (applied manually due to stale branch).
Adds eval-only benchmark for YC-Bench (collinear-ai/yc-bench), a
deterministic long-horizon benchmark where the agent acts as CEO of an
AI startup over a simulated 1-3 year run.
Key design decisions verified against the official yc-bench repo:
- Uses 'sim init' (NOT 'yc-bench run') to avoid starting a competing
built-in agent loop
- Correct DB table names: 'companies' and 'sim_events'
- Correct 4 domains: research, inference, data_environment, training
- Penalty values are preset-dependent (not hardcoded in system prompt)
- Sequential evaluation (each run is 100-500 turns)
- Follows TerminalBench2 patterns: KeyboardInterrupt handling,
cleanup_all_environments(), tqdm logging handler, streaming JSONL
yc-bench added as optional dependency: pip install hermes-agent[yc-bench]
Closes#340
Authored by rovle. Adds Daytona as the sixth terminal execution backend
with cloud sandboxes, persistent workspaces, and full CLI/gateway integration.
Includes 24 unit tests and 8 integration tests.
ptyprocess depends on Unix-only APIs (fork, openpty) and cannot work
on Windows at all. pywinpty provides a compatible PtyProcess interface
using the Windows ConPTY API.
This conditionally imports winpty.PtyProcess on Windows and
ptyprocess.PtyProcess on Unix. The pyproject.toml pty extra now uses
platform markers so the correct package is installed automatically.
Connect to external MCP servers via stdio transport, discover their tools
at startup, and register them into the hermes-agent tool registry.
- New tools/mcp_tool.py: config loading, server connection via background
event loop, tool handler factories, discovery, and graceful shutdown
- model_tools.py: trigger MCP discovery after built-in tool imports
- cli.py: call shutdown_mcp_servers in _run_cleanup
- pyproject.toml: add mcp>=1.2.0 as optional dependency
- 27 unit tests covering config, schema conversion, handlers, registration,
SDK interaction, toolset injection, graceful fallback, and shutdown
Config format (in ~/.hermes/config.yaml):
mcp_servers:
filesystem:
command: "npx"
args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
- Add ha_list_entities, ha_get_state, ha_call_service tools via REST API
- Add WebSocket gateway adapter for real-time state_changed event monitoring
- Support domain/entity filtering, cooldown, and auto-reconnect with backoff
- Use REST API for outbound notifications to avoid WS race condition
- Gate tool availability on HASS_TOKEN env var
- Add 82 unit tests covering real logic (filtering, payload building, event pipeline)
Opt-in persistent cross-session user modeling via Honcho. Reads
~/.honcho/config.json as single source of truth (shared with
Claude Code, Cursor, and other Honcho-enabled tools). Zero impact
when disabled or unconfigured.
- honcho_integration/ package (client, session manager, peer resolution)
- Host-based config resolution matching claude-honcho/cursor-honcho pattern
- Prefetch user context into system prompt per conversation turn
- Sync user/assistant messages to Honcho after each exchange
- query_user_context tool for mid-conversation dialectic reasoning
- Gated activation: requires ~/.honcho/config.json with enabled=true
New process registry and tool for managing long-running background processes
across all terminal backends (local, Docker, Singularity, Modal, SSH).
Process Registry (tools/process_registry.py):
- ProcessSession tracking with rolling 200KB output buffer
- spawn_local() with optional PTY via ptyprocess for interactive CLIs
- spawn_via_env() for non-local backends (runs inside sandbox, never on host)
- Background reader threads per process (Popen stdout or PTY)
- wait() with timeout clamping, interrupt support, and transparent limit reporting
- JSON checkpoint to ~/.hermes/processes.json for gateway crash recovery
- Module-level singleton shared across agent loop, gateway, and RL
Process Tool (model_tools.py):
- 7 actions: list, poll, log, wait, kill, write, submit
- Paired with terminal in all toolsets (CLI, messaging, RL)
- Timeout clamping with transparent notes in response
Terminal Tool Updates (tools/terminal_tool.py):
- Replaced nohup background mode with registry spawn (returns session_id)
- Added workdir parameter for per-command working directory
- Added check_interval parameter for gateway auto-check watchers
- Added pty parameter for interactive CLI tools (Codex, Claude Code)
- Updated TERMINAL_TOOL_DESCRIPTION with full background workflow docs
- Cleanup thread now respects active background processes (won't reap sandbox)
Gateway Integration (gateway/run.py, session.py, config.py):
- Session reset protection: sessions with active processes exempt from reset
- Default idle timeout increased from 2 hours to 24 hours
- from_dict fallback aligned to match (was 120, now 1440)
- session_key env var propagated to process registry for session mapping
- Crash recovery on gateway startup via checkpoint probe
- check_interval watcher: asyncio task polls process, delivers updates to platform
RL Safety (environments/):
- tool_context.py cleanup() kills background processes on episode end
- hermes_base_env.py warns when enabled_toolsets is None (loads all tools)
- Process tool safe in RL via wait() blocking the agent loop
Also:
- Added ptyprocess as optional dependency (in pyproject.toml [pty] extra + [all])
- Fixed pre-existing bug: rl_test_inference missing from TOOL_TO_TOOLSET_MAP
- Updated AGENTS.md with process management docs and project structure
- Updated README.md terminal section with process management overview
- Updated `pyproject.toml` to include Edge TTS and ElevenLabs as dependencies.
- Enhanced documentation to detail voice message capabilities across platforms and TTS provider options.
- Modified the GatewayRunner to handle MEDIA tags from TTS tool responses, ensuring proper delivery of audio messages.
- Reorganized the 'all' dependencies to include specific optional groups for better modularity.
- Added support for 'hermes-agent' with distinct categories: modal, messaging, cron, cli, and dev.
- Added `prompt_toolkit` as a direct dependency for interactive CLI support.
- Updated `modal` optional dependency to require `swe-rex[modal]>=1.4.0` for improved cloud execution capabilities.
- Enhanced `messaging` optional dependencies to include `aiohttp>=3.9.0` for WhatsApp bridge communication.
- Refined installation scripts to check for Python version requirements, emphasizing the need for Python 3.11+ for RL training tools.
- Improved setup scripts to ensure proper installation of submodules and dependencies, enhancing user experience during setup.
- Changed default Docker, Singularity, and Modal images in configuration files to use "nikolaik/python-nodejs:python3.11-nodejs20" for improved compatibility.
- Updated the default model in the configuration to "anthropic/claude-sonnet-4.5" and adjusted related setup prompts for API provider configuration.
- Introduced a new CLI option for selecting a custom OpenAI-compatible endpoint, enhancing flexibility in model provider setup.
- Enhanced the prompt choice functionality to support arrow key navigation for better user experience in CLI interactions.
- Updated documentation in relevant files to reflect these changes and improve user guidance.
- Updated CLI to load configuration from user-specific and project-specific YAML files, prioritizing user settings.
- Introduced a new command `/platforms` to display the status of connected messaging platforms (Telegram, Discord, WhatsApp).
- Implemented a gateway system for handling messaging interactions, including session management and delivery routing for cron job outputs.
- Added support for environment variable configuration and a dedicated gateway configuration file for advanced settings.
- Enhanced documentation in README.md and added a new messaging.md file to guide users on platform integrations and setup.
- Updated toolsets to include platform-specific capabilities for Telegram, Discord, and WhatsApp, ensuring secure and tailored interactions.
- Modified `.env.example` to set default terminal environment to 'local' and updated Docker, Singularity, and Modal image references to use 'python:3.11-slim'.
- Updated `package.json` to include Node.js engine requirements and modified post-install script for better user guidance.
- Enhanced `pyproject.toml` to reflect new dependencies and optional dependencies for modal and development environments.
- Improved `README.md` with additional setup instructions for Singularity and Node.js dependencies, along with clearer toolset documentation.
- Refactored `model_tools.py` to include new tool definitions and ensure consistency across toolsets.
- Updated architecture documentation to clarify tool structure and registration processes.
