@GitTrend0x: Hermes All-in-One Identity List Sharing! AI/ML API Native Fork, Inkbox Communication Identity Integration, VS Code Codespace Extension, Multi-Agent Coding Fleet, Agent-Stack Infrastructure Completion… Programmers Everywhere Turn Hermes …
Summary
Hermes is a self-improving AI agent framework built by Nous Research, supporting multiple infrastructure integrations and identity management. Developers have extended its capabilities through various forks.
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Hermes All-in-One Identity List Sharing! Native AI/ML API fork, Inkbox communication identity integration, VS Code Codespace extension, multi-agent coding fleet, Agent-Stack infrastructure completion… Programmers everywhere are turning Hermes into the next-gen Agent stable invocation tool + real identity manager + editor native resident + coding legion + production-grade base:
- hermes-agent-aimlapi (https://github.com/aimlapi/hermes-agent-aimlapi…) – Native AI/ML API provider fork, more stable and cost-effective model invocation. “Finally no need to manually configure compatibility layers” confirmed!
- hermes-agent (https://github.com/inkbox-ai/hermes-agent…) – Deep Inkbox fork, comes with email + SMS/voice + tunnel out of the box. Agent finally has a “real identity”!
- hermes-codespace (https://github.com/gitricko/hermes-codespace…) – Native VS Code Codespace integration, skill management + real-time interaction. “Agent lives in my editor”!
- coderfleet (https://github.com/zhchxiao123/coderfleet…) – Multi-account AI coding fleet: independent containers + web unified scheduling. Coding legion officially established!
- agent-stack (https://github.com/MukundaKatta/agent-stack…) – Six-piece infrastructure: budget, snapshots, validation, fixes all completed.
aimlapi/hermes-agent-aimlapi Source: https://github.com/aimlapi/hermes-agent-aimlapi
Hermes Agent ☤ 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), 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. A real terminal interfaceFull TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output. Lives where you doTelegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity. A closed learning loopAgent-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. Honcho dialectic user modeling. Compatible with the agentskills.io open standard. Scheduled automationsBuilt-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended. Delegates and parallelizesSpawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns. Runs anywhere, not just your laptopSix terminal backends — local, Docker, SSH, Daytona, Singularity, and Modal. 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. Research-readyBatch trajectory generation, Atropos RL environments, trajectory compression for training the next generation of tool-calling models.
Quick Install
bash curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
Works on Linux, macOS, WSL2, and Android via Termux. The installer handles the platform-specific setup for you.
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 not supported. Please install WSL2 (https://learn.microsoft.com/en-us/windows/wsl/install) and run the command above.
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/)
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 / | / |
| 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 | What’s Covered |
|---|---|
| Quickstart (https://hermes-agent.nousresearch.com/docs/getting-started/quickstart) | Install → setup → first conversation in 2 minutes |
| CLI Usage (https://hermes-agent.nousresearch.com/docs/user-guide/cli) | Commands, keybindings, personalities, sessions |
| Configuration (https://hermes-agent.nousresearch.com/docs/user-guide/configuration) | Config file, providers, models, all options |
| Messaging Gateway (https://hermes-agent.nousresearch.com/docs/user-guide/messaging) | Telegram, Discord, Slack, WhatsApp, Signal, Home Assistant |
| Security (https://hermes-agent.nousresearch.com/docs/user-guide/security) | Command approval, DM pairing, container isolation |
| Tools & Toolsets (https://hermes-agent.nousresearch.com/docs/user-guide/features/tools) | 40+ tools, toolset system, terminal backends |
| Skills System (https://hermes-agent.nousresearch.com/docs/user-guide/features/skills) | Procedural memory, Skills Hub, creating skills |
| Memory (https://hermes-agent.nousresearch.com/docs/user-guide/features/memory) | Persistent memory, user profiles, best practices |
| MCP Integration (https://hermes-agent.nousresearch.com/docs/user-guide/features/mcp) | Connect any MCP server for extended capabilities |
| Cron Scheduling (https://hermes-agent.nousresearch.com/docs/user-guide/features/cron) | Scheduled tasks with platform delivery |
| Context Files (https://hermes-agent.nousresearch.com/docs/user-guide/features/context-files) | Project context that shapes every conversation |
| Architecture (https://hermes-agent.nousresearch.com/docs/developer-guide/architecture) | Project structure, agent loop, key classes |
| Contributing (https://hermes-agent.nousresearch.com/docs/developer-guide/contributing) | Development setup, PR process, code style |
| CLI Reference (https://hermes-agent.nousresearch.com/docs/reference/cli-commands) | All commands and flags |
| Environment Variables (https://hermes-agent.nousresearch.com/docs/reference/environment-variables) | Complete env var reference |
Migrating from OpenClaw
If you’re coming from OpenClaw, Hermes can automatically import your settings, memories, skills, and API keys.
During first-time setup: The setup wizard (hermes setup) automatically detects ~/.openclaw and offers to migrate before configuration begins.
Anytime after install:
bash hermes claw migrate # Interactive migration (full preset) hermes claw migrate --dry-run # Preview what would be migrated hermes claw migrate --preset user-data # Migrate without secrets hermes claw migrate --overwrite # Overwrite existing conflicts
What gets imported:
- SOUL.md — persona file
- Memories — MEMORY.md and USER.md entries
- Skills — user-created skills →
~/.hermes/skills/openclaw-imports/ - Command allowlist — approval patterns
- Messaging settings — platform configs, allowed users, working directory
- API keys — allowlisted secrets (Telegram, OpenRouter, OpenAI, Anthropic, ElevenLabs)
- TTS assets — workspace audio files
- Workspace instructions — AGENTS.md (with
--workspace-target)
See hermes claw migrate --help for all options, or use the openclaw-migration skill for an interactive agent-guided migration with dry-run previews.
Contributing
We welcome contributions! See the Contributing Guide (https://hermes-agent.nousresearch.com/docs/developer-guide/contributing) for development setup, code style, and PR process.
Quick start for contributors — clone and go with setup-hermes.sh:
bash git clone https://github.com/NousResearch/hermes-agent.git cd hermes-agent ./setup-hermes.sh # installs uv, creates venv, installs .[all], symlinks ~/.local/bin/hermes ./hermes # auto-detects the venv, no need to `source` first
Manual path (equivalent to the above):
bash curl -LsSf https://astral.sh/uv/install.sh | sh uv venv venv --python 3.11 source venv/bin/activate uv pip install -e ".[all,dev]" scripts/run_tests.sh
RL Training (optional): The RL/Atropos integration (
environments/) ships via theatroposlibandtinkerdependencies pulled in by.[all,dev]— no submodule setup required.
Community
- 💬 Discord (https://discord.gg/NousResearch)
- 📚 Skills Hub (https://agentskills.io)
- 🐛 Issues (https://github.com/NousResearch/hermes-agent/issues)
- 🔌 HermesClaw (https://github.com/AaronWong1999/hermesclaw) — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research (https://nousresearch.com).
GitTrend (@GitTrend0x): Hermes - Your Super Agent!
Advanced optimization bible, Docker sandbox, local Codex drawing, professional weather plugin, persistent execution plans… Programmers everywhere are turning Hermes into the next-gen Agent configuration bible + isolated sandbox + zero-cost artist + private weather station + persistence expert:
1️⃣ hermes-optimization-guide(https://t.co/gbJXSsM8Wv)
LightRAG + Telegram +
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