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New documentation pages (1,823 lines): - getting-started/learning-path.md: 3-tier learning path table (beginner/intermediate/advanced) + use-case-based navigation - guides/tips.md: Tips & Best Practices quick-wins collection covering prompting, CLI power user tips, context files, memory, performance/cost, messaging, and security - guides/daily-briefing-bot.md: End-to-end tutorial building an automated daily news briefing with cron + web search + messaging - guides/team-telegram-assistant.md: Full walkthrough setting up a team Telegram bot with BotFather, gateway, DM pairing, and production deployment - guides/python-library.md: Guide to using AIAgent as a Python library — basic usage, multi-turn conversations, toolset config, trajectories, custom prompts, and integration examples (FastAPI, Discord bot, CI/CD) - reference/faq.md: Centralized FAQ (8 questions) + troubleshooting guide (6 categories, 18 specific issues) with problem/cause/solution format Sidebar restructure: - Added 'Guides & Tutorials' as new top-level section - Reorganized flat Features list (17 items) into 5 subcategories: Core Features, Automation, Web & Media, Integrations, Advanced - Added FAQ to Reference section - Updated index.md quick links table Docusaurus build verified clean.
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| slug | sidebar_position | title | description | hide_table_of_contents |
|---|---|---|---|---|
| / | 0 | Hermes Agent Documentation | The self-improving AI agent built by Nous Research. A built-in learning loop that creates skills from experience, improves them during use, and remembers across sessions. | true |
Hermes Agent
The self-improving AI agent built by Nous Research. The only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, and builds a deepening model of who you are across sessions.
What is Hermes Agent?
It's not a coding copilot tethered to an IDE or a chatbot wrapper around a single API. It's an autonomous agent that gets more capable the longer it runs. It lives wherever you put it — a $5 VPS, a GPU cluster, or serverless infrastructure (Daytona, Modal) that costs nearly nothing when idle. Talk to it from Telegram while it works on a cloud VM you never SSH into yourself. It's not tied to your laptop.
Quick Links
| 🚀 Installation | Install in 60 seconds on Linux, macOS, or WSL2 |
| 📖 Quickstart Tutorial | Your first conversation and key features to try |
| 🗺️ Learning Path | Find the right docs for your experience level |
| ⚙️ Configuration | Config file, providers, models, and options |
| 💬 Messaging Gateway | Set up Telegram, Discord, Slack, or WhatsApp |
| 🔧 Tools & Toolsets | 40+ built-in tools and how to configure them |
| 🧠 Memory System | Persistent memory that grows across sessions |
| 📚 Skills System | Procedural memory the agent creates and reuses |
| 🔌 MCP Integration | Connect to any MCP server for extended capabilities |
| 📄 Context Files | Project context files that shape every conversation |
| 🔒 Security | Command approval, authorization, container isolation |
| 💡 Tips & Best Practices | Quick wins to get the most out of Hermes |
| 🏗️ Architecture | How it works under the hood |
| ❓ FAQ & Troubleshooting | Common questions and solutions |
Key Features
- A closed learning loop — Agent-curated memory with periodic nudges, autonomous skill creation, skill self-improvement during use, FTS5 cross-session recall with LLM summarization, and Honcho dialectic user modeling
- Runs anywhere, not just your laptop — 6 terminal backends: local, Docker, SSH, Daytona, Singularity, Modal. Daytona and Modal offer serverless persistence — your environment hibernates when idle, costing nearly nothing
- Lives where you do — CLI, Telegram, Discord, Slack, WhatsApp, all from one gateway
- Built by model trainers — Created by Nous Research, the lab behind Hermes, Nomos, and Psyche. Works with Nous Portal, OpenRouter, OpenAI, or any endpoint
- Scheduled automations — Built-in cron with delivery to any platform
- Delegates & parallelizes — Spawn isolated subagents for parallel workstreams. Programmatic Tool Calling via
execute_codecollapses multi-step pipelines into single inference calls - Open standard skills — Compatible with agentskills.io. Skills are portable, shareable, and community-contributed via the Skills Hub
- Full web control — Search, extract, browse, vision, image generation, TTS
- MCP support — Connect to any MCP server for extended tool capabilities
- Research-ready — Batch processing, trajectory export, RL training with Atropos. Built by Nous Research — the lab behind Hermes, Nomos, and Psyche models