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25ba6783b8
Extracts the JSON-RPC transport from stdio into an abstraction so the same
dispatcher drives Ink over stdio AND browser/iOS clients over WebSocket
without duplicating handler logic. Adds a Chat page to the existing web
dashboard that exercises the full surface — streaming, tool calls, slash
commands, model picker, session resume.
Backend
-------
* tui_gateway/transport.py — Transport protocol + contextvar binding + the
module-level StdioTransport. Stream is resolved through a callback so
tests that monkeypatch `_real_stdout` keep working.
* tui_gateway/server.py — write_json and dispatch are now transport-aware.
Backward compatible: no transport bound = legacy stdio path, so entry.py
(Ink's stdio entrypoint) is unchanged externally.
* tui_gateway/ws.py — WSTransport + handle_ws coroutine. Safe to call from
any thread: detects loop-thread deadlock and fire-and-forget schedules
when needed, blocking run_coroutine_threadsafe + future.result otherwise.
* hermes_cli/web_server.py — mounts /api/ws on the existing FastAPI app,
gated by the same ephemeral session token used for REST. Adds
HERMES_DASHBOARD_DEV_TOKEN env override so Vite HMR dev can share the
token with the backend.
Frontend
--------
* web/src/lib/gatewayClient.ts — browser WebSocket JSON-RPC client that
mirrors ui-tui/src/gatewayClient.ts.
* web/src/lib/slashExec.ts — slash command pipeline (slash.exec with
command.dispatch fallback + exec/plugin/alias/skill/send directive
handling), mirrors ui-tui/src/app/createSlashHandler.ts.
* web/src/pages/ChatPage.tsx — transcript + composer driven entirely by
the WS.
* web/src/components/SlashPopover.tsx — autocomplete popover above the
composer, debounced complete.slash.
* web/src/components/ModelPickerDialog.tsx — two-stage provider/model
picker; confirms by emitting /model through the slash pipeline.
* web/src/components/ToolCall.tsx — expandable tool call row (Ink-style
chevron + context + summary/error/diff).
* web/src/App.tsx — logo links to /, Chat entry added to nav.
* web/src/pages/SessionsPage.tsx — every session row gets an Open-in-chat
button that navigates to /chat?resume=<id> (uses session.resume).
* web/vite.config.ts — /api proxy configured with ws: true so WebSocket
upgrades forward in dev mode; injectDevToken plugin reads
HERMES_DASHBOARD_DEV_TOKEN and injects it into the served index.html so
Vite HMR can authenticate against FastAPI without a separate flow.
Tests
-----
tests/hermes_cli/test_web_server.py picks up three new classes:
* TestTuiGatewayWebSocket — handshake, auth rejection, parse errors,
unknown methods, inline + pool handler round-trips, session event
routing, disconnect cleanup.
* TestTuiGatewayTransportParity — byte-identical envelopes for the same
RPC over stdio vs WS (unknown method, inline handler, error envelope,
explicit stdio transport).
* TestTuiGatewayE2EAnyPort — scripted multi-RPC conversation driven
identically via handle_request and via WebSocket; order + shape must
match. This is the "hermes --tui in any port" check.
Existing tests under tests/tui_gateway/ and tests/test_tui_gateway_server.py
all still pass unchanged — backward compat preserved.
Try it
------
hermes dashboard # builds web, serves on :9119, click Chat
Dev with HMR:
export HERMES_DASHBOARD_DEV_TOKEN="dev-\$(openssl rand -hex 16)"
hermes dashboard --no-open
cd web && npm run dev # :5173, /api + /api/ws proxied to :9119
fix(chat): insert tool rows before the streaming assistant message
Transcript used to read "user → empty assistant bubble → tool → bubble
filling in", which is disorienting: the streaming cursor sits at the top
while the "work" rows appear below it chronologically.
Now tool.start inserts the row just before the current streaming
assistant message, so the order reads "user → tools → final message".
If no streaming assistant exists yet (rare), tools still append at the
end; tool.progress / tool.complete match by id regardless of position.
fix(web-chat): font, composer, streaming caret + port GoodVibesHeart
- ChatPage root opts out of App's `font-mondwest uppercase` (dashboard
chrome style) — adds `font-courier normal-case` so transcript prose is
readable mono mixed-case instead of pixel-display caps.
- Composer: textarea + send button wrapped as one bordered unit with
`focus-within` ring; `font-sans` dropped (it mapped to `Collapse`
display). Heights stretch together via `items-stretch`; button is a
flush cap with `border-l` divider.
- Streaming caret no longer wraps to a new line when the assistant
renders a block element. Markdown now takes a `streaming` prop and
injects the caret inside the last block (paragraph, list item, code)
so it hugs the trailing character. Caret sized in em units.
- EmptyState gets a blinking caret + <kbd> shortcut chips.
- Port ui-tui's GoodVibesHeart easter egg to the web: typing "thanks" /
"ty" / "ily" / "good bot" flashes a Lucide heart next to the
connection badge (same regex, same 650ms beat, same palette as
ui-tui/src/app/useMainApp.ts).
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|---|---|---|
| .github | ||
| .plans | ||
| acp_adapter | ||
| acp_registry | ||
| agent | ||
| assets | ||
| cron | ||
| datagen-config-examples | ||
| docker | ||
| environments | ||
| gateway | ||
| hermes_cli | ||
| nix | ||
| optional-skills | ||
| packaging/homebrew | ||
| plans | ||
| plugins | ||
| scripts | ||
| skills | ||
| tests | ||
| tinker-atropos@65f084ee80 | ||
| tools | ||
| tui_gateway | ||
| ui-tui | ||
| web | ||
| website | ||
| .dockerignore | ||
| .env.example | ||
| .envrc | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| .mailmap | ||
| AGENTS.md | ||
| batch_runner.py | ||
| cli-config.yaml.example | ||
| cli.py | ||
| constraints-termux.txt | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| flake.lock | ||
| flake.nix | ||
| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_constants.py | ||
| hermes_logging.py | ||
| hermes_state.py | ||
| hermes_time.py | ||
| LICENSE | ||
| MANIFEST.in | ||
| mcp_serve.py | ||
| mini_swe_runner.py | ||
| model_tools.py | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| README.md | ||
| RELEASE_v0.2.0.md | ||
| RELEASE_v0.3.0.md | ||
| RELEASE_v0.4.0.md | ||
| RELEASE_v0.5.0.md | ||
| RELEASE_v0.6.0.md | ||
| RELEASE_v0.7.0.md | ||
| RELEASE_v0.8.0.md | ||
| RELEASE_v0.9.0.md | ||
| RELEASE_v0.10.0.md | ||
| RELEASE_v0.11.0.md | ||
| rl_cli.py | ||
| run_agent.py | ||
| SECURITY.md | ||
| setup-hermes.sh | ||
| toolset_distributions.py | ||
| toolsets.py | ||
| trajectory_compressor.py | ||
| utils.py | ||
| uv.lock | ||
Hermes Agent ☤
The self-improving AI agent built by Nous Research. 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, OpenRouter (200+ models), NVIDIA NIM (Nemotron), Xiaomi MiMo, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, or your own endpoint. Switch with hermes model — no code changes, no lock-in.
| A real terminal interface | Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output. |
| Lives where you do | Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity. |
| A closed learning loop | 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. Honcho dialectic user modeling. Compatible with the agentskills.io open standard. |
| Scheduled automations | Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended. |
| Delegates and parallelizes | Spawn 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 laptop | Six 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-ready | Batch trajectory generation, Atropos RL environments, trajectory compression for training the next generation of tool-calling models. |
Quick Install
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. 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 and run the command above.
After installation:
source ~/.bashrc # reload shell (or: source ~/.zshrc)
hermes # start chatting!
Getting Started
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
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 and the Messaging Gateway guide.
Documentation
All documentation lives at hermes-agent.nousresearch.com/docs:
| Section | What's Covered |
|---|---|
| Quickstart | Install → setup → first conversation in 2 minutes |
| CLI Usage | Commands, keybindings, personalities, sessions |
| Configuration | Config file, providers, models, all options |
| Messaging Gateway | Telegram, Discord, Slack, WhatsApp, Signal, Home Assistant |
| Security | Command approval, DM pairing, container isolation |
| Tools & Toolsets | 40+ tools, toolset system, terminal backends |
| Skills System | Procedural memory, Skills Hub, creating skills |
| Memory | Persistent memory, user profiles, best practices |
| MCP Integration | Connect any MCP server for extended capabilities |
| Cron Scheduling | Scheduled tasks with platform delivery |
| Context Files | Project context that shapes every conversation |
| Architecture | Project structure, agent loop, key classes |
| Contributing | Development setup, PR process, code style |
| CLI Reference | All commands and flags |
| 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:
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 for development setup, code style, and PR process.
Quick start for contributors — clone and go with setup-hermes.sh:
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):
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
- 📚 Skills Hub
- 🐛 Issues
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.