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* feat(tui): pluggable busy-indicator styles (kaomoji/emoji/unicode/ascii) The status-bar `FaceTicker` rotated through wide-and-variable kaomoji glyphs (`(｡•́︿•̀｡)`, `( ͡° ͜ʖ ͡°)`, …) every 2.5s. Real display widths range from ~5 to ~16 columns, so the rest of the bar (cwd, ctx %, voice, bg counter) shifted on every cycle. Padding the verb alone (#17116) helped but didn't address the dominant jitter source — the glyph itself. Add four indicator styles, configurable + hot-swappable: * `kaomoji` (default — preserves the existing vibe; verb is now pad-stable so the only width churn left is the kaomoji itself). * `emoji` — single 2-col emoji frame (`⚕ 🌀 🤔 ✨ 🍵 🔮`). * `unicode` — `unicode-animations` braille spinner (1-col, smooth). * `ascii` — `| / - \` (1-col, max compat). Wires: * `display.tui_status_indicator` in `DEFAULT_CONFIG` (default `kaomoji`). * New JSON-RPC `config.set/get indicator` keys, narrow allow-list. * `applyDisplay` reads the field and patches `UiState.indicatorStyle`, so the existing `mtime` poll picks up `~/.hermes/config.yaml` edits within ~5s without a TUI restart. * `/indicator [style]` slash command (alias `/indicator-style`, subcommand completion `kaomoji|emoji|unicode|ascii`). Bare form shows the current style; setter fires `config.set` and optimistically `patchUiState({ indicatorStyle })` so the live TUI swaps immediately, matching the `/skin` UX. * `CommandDef("indicator", ..., subcommands=...)` so classic CLI autocomplete + TUI `complete.slash` both surface it. * `FaceTicker` decouples spinner cadence from verb cadence — the glyph runs at the spinner's authored interval (or `FACE_TICK_MS` for kaomoji), the verb stays on the original 2.5s cycle, and both re-arm cleanly when style changes. Tests: * `normalizeIndicatorStyle` rejects unknown / non-string input. * `applyDisplay → tui_status_indicator` covers fan-out + fallback. * `/indicator <style>` hot-swaps `UiState.indicatorStyle` after a successful `config.set`. * `/indicator sparkle` rejects with the usage hint and never hits the gateway. * Slash-parity matrix gets `'/indicator'` → `config.get`. Validation: cd ui-tui && npm run type-check — clean; npm test --run — 398/398. scripts/run_tests.sh tests/test_tui_gateway_server.py tests/hermes_cli/test_commands.py — 220/220. * chore(tui): drop /indicator-style alias to declutter autocomplete * fix(tui): drop verb-width pad — /indicator handles glyph jitter directly * fix(tui): unicode indicator style hides the verb (cleanest option) * refactor(tui): single source of truth for INDICATOR_STYLES; cleaner error format Round 1 Copilot review on PR #17150: - Exported `INDICATOR_STYLES` const tuple from `interfaces.ts`; `IndicatorStyle` union type is derived from it. `useConfigSync` builds its validation Set from the tuple, and `session.ts` uses it for both the usage hint and the runtime allow-list — adding/removing a style now touches one line. - Backend `config.set indicator` error message: switched `sorted(allowed)` list repr to `pick one of ascii|emoji|kaomoji|unicode` (matches the TUI usage hint), and reports the normalized `raw` instead of the original `value`. Backend allowed tuple now has a comment pointing back at `INDICATOR_STYLES` so the two stay aligned. Note: kept the verb portion unpadded per design intent — fixed-width padding was the exact UX the `/indicator` command was added to remove. Stable width comes from the glyph; verbs cycling is part of the kawaii aesthetic. Reply on the verb thread will explain. * fix(tui): drop type collapse + gate verb timer + DEFAULT_INDICATOR_STYLE Round 2 Copilot review on PR #17150: - `tui_status_indicator?: 'ascii' | ... | string` collapses to `string` in TS — consumers got no narrowing. Documented as plain `string` with a comment about runtime validation via `normalizeIndicatorStyle`. - `FaceTicker` always started a 2.5s verb interval, even for the `unicode` style which hides the verb entirely. Now gated on `showVerb` from `renderIndicator` — `unicode` stays calm. Pre-emptive self-review (avoid round 3): - Three call sites duplicated the literal `'kaomoji'` default (uiStore, normalizeIndicatorStyle, slash command). Added `DEFAULT_INDICATOR_STYLE` to interfaces.ts and threaded it through so changing the default touches one line. * fix(tui-gateway): normalize config.get indicator output to match TUI render Round 4 Copilot review on PR #17150: `config.get` for `indicator` returned the raw `display.tui_status_indicator` value without validation, so a hand-edited config.yaml with stray casing or an unknown style would leave `/indicator` printing one thing while the TUI rendered the kaomoji default (frontend's `normalizeIndicatorStyle` does this normalization on receive). Lifted the allow-list to module scope as `_INDICATOR_STYLES` / `_INDICATOR_DEFAULT`, reused by both `config.set` and `config.get`. Comment notes the alignment with `INDICATOR_STYLES` / `DEFAULT_INDICATOR_STYLE` in interfaces.ts so adding/removing a style is a one-line change on each end. Tests cover: known value verbatim, casing/whitespace normalize, unknown→default, unset→default. * fix(tui-gateway): preserve falsy-input diagnostics in config.set indicator error Round 5 Copilot review on PR #17150: `raw = str(value or "").strip().lower()` collapsed any falsy non-string (`0`, `False`, `[]`) to empty string, so the error message read `unknown indicator: ` with nothing after — losing the original input. Switched to `("" if value is None else str(value)).strip().lower()` so only `None` (the genuine 'no value' case) becomes blank. Used `{raw!r}` in the error so the diagnostic is unambiguous (`'0'` vs `0`). Tests: - known-value happy path (`'EMOJI'` → `'emoji'`) - falsy non-string inputs (`0` / `False` / `[]`) surface meaningfully - `None` keeps the blank-repr error |
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| hermes | ||
| hermes-already-has-routines.md | ||
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| hermes_time.py | ||
| LICENSE | ||
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| SECURITY.md | ||
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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.