The agent that grows with you
Hermes Agent is a self-improving Python-based AI agent framework from Nous Research that supports Claude alongside more than 200 other models accessible through providers including Nous Portal, OpenRouter, and direct API endpoints, switchable at any time with the `hermes model` command. It connects to Claude through standard API integration rather than Claude Code or MCP specifically, and wraps it in a full terminal UI with multiline editing, slash-command autocomplete, and streaming tool output. Its standout feature is a closed learning loop: after complex tasks the agent autonomously generates reusable skills, refines them during subsequent use, and maintains cross-session memory via FTS5 full-text search with LLM summarization and Honcho-based user modeling. A built-in cron scheduler delivers automated reports and backups to Telegram, Discord, Slack, WhatsApp, or Signal. The agent runs across six execution backends including Docker, SSH, Modal, and Daytona serverless, making it relevant to developers, researchers conducting batch trajectory generation, and individuals wanting a persistent personal assistant that operates independently of any single device.
Self-improving personal AI agent from Nous Research that persists skills and memory across sessions, runnable on small VPS or cloud.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/NousResearch/hermes-agent && cp hermes-agent/*.md ~/.claude/agents/24 items en este repositorio
Delegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. Requires the blackbox CLI and a Blackbox AI API key.
Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation, recall, and dialectic settings.
Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.
Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.
Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM from an HTML composition, wants to animate text/logos/charts over media, needs captions synced to audio, wants TTS narration, or wants to convert a website into a video.
Plan, set up, and monitor a multi-agent video production pipeline backed by Hermes Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates Hermes profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever Hermes rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed.
Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
Modify, debug, or extend the s6-overlay supervision tree inside the Hermes Agent Docker image — adding new services, debugging profile gateways, understanding the Architecture B main-program pattern.
Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).
Resumen de Subagents
<p align="center"> <img src="assets/banner.png" alt="Hermes Agent" width="100%"> </p> # Hermes Agent ☤ <p align="center"> <a href="https://hermes-agent.nousresearch.com/">Hermes Agent</a> | <a href="https://hermes-agent.nousresearch.com/">Hermes Desktop</a> </p> <p align="center"> <a href="https://hermes-agent.nousresearch.com/docs/"><img src="https://img.shields.io/badge/Docs-hermes--agent.nousresearch.com-FFD700?style=for-the-badge" alt="Documentation"></a> <a href="https://discord.gg/NousResearch"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a> <a href="https://github.com/NousResearch/hermes-agent/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="License: MIT"></a> <a href="https://nousresearch.com"><img src="https://img.shields.io/badge/Built%20by-Nous%20Research-blueviolet?style=for-the-badge" alt="Built by Nous Research"></a> <a href="README.zh-CN.md"><img src="https://img.shields.io/badge/Lang-中文-red?style=for-the-badge" alt="中文"></a> <a href="README.ur-pk.md"><img src="https://img.shields.io/badge/Lang-اردو-green?style=for-the-badge" alt="اردو"></a> </p> **The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM. Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [NovitaAI](https://novita.ai) (AI-native cloud for Model API, Agent Sandbox, and GPU Cloud), [NVIDIA NIM](https://build.nvidia.com) (Nemotron), [Xiaomi MiMo](https://platform.xiaomimimo.com), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), [Hugging Face](https://huggingface.co), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in. <table> <tr><td><b>A real terminal interface</b></td><td>Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output.</td></tr> <tr><td><b>Lives where you do</b></td><td>Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity.</td></tr> <tr><td><b>A closed learning loop</b></td><td>Agent-curated memory with periodic nudges. Autonomous skill creation after complex tasks. Skills self-improve during use. FTS5 session search with LLM summarization for cross-session recall. <a href="https://github.com/plastic-labs/honcho">Honcho</a> dialectic user modeling. Compatible with the <a href="https://agentskills.io">agentskills.io</a> open standard.</td></tr> <tr><td><b>Scheduled automations</b></td><td>Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended.</td></tr> <tr><td><b>Delegates and parallelizes</b></td><td>Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns.</td></tr> <tr><td><b>Runs anywhere, not just your laptop</b></td><td>Six terminal backends — local, Docker, SSH, Singularity, Modal, and Daytona. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster.</td></tr> <tr><td><b>Research-ready</b></td><td>Batch trajectory generation, trajectory compression for training the next generation of tool-calling models.</td></tr> </table> --- ## Quick Install ### Linux, macOS, WSL2, Termux ```bash curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash ``` ### Windows (native, PowerShell) > **Heads up:** Native Windows runs Hermes without WSL — CLI, gateway, TUI, and tools all work natively. If you'd rather use WSL2, the Linux/macOS one-liner above works there too. Found a bug? Please [file issues](https://github.com/NousResearch/hermes-agent/issues). Run this in PowerShell: ```powershell iex (irm https://hermes-agent.nousresearch.com/install.ps1) ``` The installer handles everything: uv, Python 3.11, Node.js, ripgrep, ffmpeg, **and a portable Git Bash** (MinGit, unpacked to `%LOCALAPPDATA%\hermes\git` — no admin required, completely isolated from any system Git install). Hermes uses this bundled Git Bash to run shell commands. If you already have Git installed, the installer detects it and uses that instead. Otherwise a ~45MB MinGit download is all you need — it won't touch or interfere with any system Git. > **Android / Termux:** The tested manual path is documented in the [Termux guide](https://hermes-agent.nousresearch.com/docs/getting-started/termux). On Termux, Hermes installs a curated `.[termux]` extra because the full `.[all]` extra currently pulls Android-incompatible voice dependencies. > > **Windows:** Native Windows is fully supported — the PowerShell one-liner above installs everything. If you'd rather use WSL2, the Linux command works there too. Native Windows install lives under `%LOCALAPPDATA%\hermes`; WSL2 installs under `~/.hermes` as on Linux. After installation: ```bash source ~/.bashrc # reload shell (or: source ~/.zshrc) hermes # start chatting! ``` --- ## Getting Started ```bash hermes # Interactive CLI — start a conversation hermes model # Choose your LLM provider and model hermes tools # Configure which tools are enabled hermes config set # Set individual config values hermes gateway # Start the messaging gateway (Telegram, Discord, etc.) hermes setup # Run the full setup wizard (configures everything at once) hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw) hermes update # Update to the latest version hermes doctor # Diagnose any issues ``` 📖 **[Full documentation →](https://hermes-agent.nousresearch.com/docs/)** --- ## Skip the API-key collection — Nous Portal Hermes works with whatever provider you want — that's not changing. But if you'd rather not collect five separate API keys for the model, web search, image generation, TTS, and a cloud browser, **[Nous Portal](https://portal.nousresearch.com)** covers all of them under one subscription: - **300+ models** — pick any of them with `/model <name>` - **Tool Gateway** — web search (Firecrawl), image generation (FAL), text-to-speech (OpenAI), cloud browser (Browser Use), all routed through your sub. No extra accounts. One command from a fresh install: ```bash hermes setup --portal ``` That logs you in via OAuth, sets Nous as your provider, and turns on the Tool Gateway. Check what's wired up any time with `hermes portal info`. Full details on the [Tool Gateway docs page](https://hermes-agent.nousresearch.com/docs/user-guide/features/tool-gateway). You can still bring your own keys per-tool whenever you want — the gateway is per-backend, not all-or-nothing. --- ## CLI vs Messaging Quick Reference Hermes has two entry points: start the terminal UI with `hermes`, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you're in a conversation, many slash commands are shared across both interfaces. | Action | CLI | Messaging platforms | | ------------------------------ | --------------------------------------------- | -------------------------------------------------------------------------------- | | Start chatting | `hermes` | Run `hermes gateway setup` + `hermes gateway start`, then send the bot a message | | Start fresh conversation | `/new` or `/reset` | `/new` or `/reset` | | Change model | `/model [provider:model]` | `/model [provider:model]` | | Set a personality | `/personality [name]` | `/personality [name]` | | Retry or undo the last turn | `/retry`, `/undo` | `/retry`, `/undo` | | Compress context / check usage | `/compress`, `/usage`, `/insights [--days N]` | `/compress`, `/usage`, `/insights [days]` | | Browse skills | `/skills` or `/<skill-name>` | `/<skill-name>` | | Interrupt current work | `Ctrl+C` or send a new message | `/stop` or send a new message | | Platform-specific status | `/platforms` | `/status`, `/sethome` | For the full command lists, see the [CLI guide](https://hermes-agent.nousresearch.com/docs/user-guide/cli) and the [Messaging Gateway guide](https://hermes-agent.nousresearch.com/docs/user-guide/messaging). --- ## Documentation All documentation lives at **[hermes-agent.nousresearch.com/docs](https://hermes-agent.nousresearch.com/docs/)**: | Section
Lo que la gente pregunta sobre hermes-agent
¿Qué es NousResearch/hermes-agent?
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NousResearch/hermes-agent es subagents para el ecosistema de Claude AI. The agent that grows with you Tiene 192.1k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala hermes-agent?
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Puedes instalar hermes-agent clonando el repositorio (https://github.com/NousResearch/hermes-agent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar NousResearch/hermes-agent?
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Nuestro agente de seguridad ha analizado NousResearch/hermes-agent y le ha asignado un Trust Score de 76/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene NousResearch/hermes-agent?
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NousResearch/hermes-agent es mantenido por NousResearch. La última actividad registrada en GitHub es de today, con 20150 issues abiertos.
¿Hay alternativas a hermes-agent?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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