2dbbedc05a
- Lead with the learning loop: autonomous skill creation, skill self-improvement, memory nudges, FTS5 session search, Honcho dialectic user modeling - 'Runs anywhere' angle: 6 backends, serverless persistence with Daytona/Modal, not tied to your laptop - 'Built by model trainers' replaces 'model-agnostic' - Updated README tagline, feature table, subtitle - Updated docs landing page hero, description, key features - Updated docusaurus tagline and pyproject.toml description
51 lines
4.5 KiB
Markdown
51 lines
4.5 KiB
Markdown
---
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slug: /
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sidebar_position: 0
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title: "Hermes Agent Documentation"
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description: "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."
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hide_table_of_contents: true
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---
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# Hermes Agent
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The self-improving AI agent built by [Nous Research](https://nousresearch.com). 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.
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<div style={{display: 'flex', gap: '1rem', marginBottom: '2rem', flexWrap: 'wrap'}}>
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<a href="/docs/getting-started/installation" style={{display: 'inline-block', padding: '0.6rem 1.2rem', backgroundColor: '#FFD700', color: '#07070d', borderRadius: '8px', fontWeight: 600, textDecoration: 'none'}}>Get Started →</a>
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<a href="https://github.com/NousResearch/hermes-agent" style={{display: 'inline-block', padding: '0.6rem 1.2rem', border: '1px solid rgba(255,215,0,0.2)', borderRadius: '8px', textDecoration: 'none'}}>View on GitHub</a>
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</div>
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## What is Hermes Agent?
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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.
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## Quick Links
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| 🚀 **[Installation](/docs/getting-started/installation)** | Install in 60 seconds on Linux, macOS, or WSL2 |
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| 📖 **[Quickstart Tutorial](/docs/getting-started/quickstart)** | Your first conversation and key features to try |
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| ⚙️ **[Configuration](/docs/user-guide/configuration)** | Config file, providers, models, and options |
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| 💬 **[Messaging Gateway](/docs/user-guide/messaging)** | Set up Telegram, Discord, Slack, or WhatsApp |
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| 🔧 **[Tools & Toolsets](/docs/user-guide/features/tools)** | 40+ built-in tools and how to configure them |
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| 🧠 **[Memory System](/docs/user-guide/features/memory)** | Persistent memory that grows across sessions |
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| 📚 **[Skills System](/docs/user-guide/features/skills)** | Procedural memory the agent creates and reuses |
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| 🔌 **[MCP Integration](/docs/user-guide/features/mcp)** | Connect to any MCP server for extended capabilities |
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| 📄 **[Context Files](/docs/user-guide/features/context-files)** | Project context files that shape every conversation |
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| 🔒 **[Security](/docs/user-guide/security)** | Command approval, authorization, container isolation |
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| 🏗️ **[Architecture](/docs/developer-guide/architecture)** | How it works under the hood |
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| 🤝 **[Contributing](/docs/developer-guide/contributing)** | Development setup and PR process |
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## Key Features
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- **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](https://github.com/plastic-labs/honcho) dialectic user modeling
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- **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
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- **Lives where you do** — CLI, Telegram, Discord, Slack, WhatsApp, all from one gateway
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- **Built by model trainers** — Created by [Nous Research](https://nousresearch.com), the lab behind Hermes, Nomos, and Psyche. Works with [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai), OpenAI, or any endpoint
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- **Scheduled automations** — Built-in cron with delivery to any platform
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- **Delegates & parallelizes** — Spawn isolated subagents for parallel workstreams. Programmatic Tool Calling via `execute_code` collapses multi-step pipelines into single inference calls
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- **Open standard skills** — Compatible with [agentskills.io](https://agentskills.io). Skills are portable, shareable, and community-contributed via the Skills Hub
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- **Full web control** — Search, extract, browse, vision, image generation, TTS
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- **MCP support** — Connect to any MCP server for extended tool capabilities
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- **Research-ready** — Batch processing, trajectory export, RL training with Atropos. Built by [Nous Research](https://nousresearch.com) — the lab behind Hermes, Nomos, and Psyche models
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