* fix(desktop): unify dialog/overlay buttons on shared Button component
Replace raw <button> action/text controls across the modal layer (boot
failure, install, update, onboarding, clarify, model-visibility,
notifications, gateway menu) with the shared Button + its variants
(text / ghost / icon-xs). Drops the bespoke square-cornered styling so
every dialog matches the app's slightly-rounded button system, and
swaps clarify-tool's hardcoded "Skip" for the existing i18n string.
* feat(desktop): add dev-only dialog gallery for auditing overlays
A code-split, DEV-gated harness (toggle ⌘/Ctrl+Alt+Shift+D) that triggers
every dialog/overlay so their buttons can be eyeballed in one place:
store-driven overlays (boot failure, updates, notifications, sudo/secret)
plus in-place dialogs (confirm, profile create/rename, attach-url, model
picker/visibility, clarify, tool approval). Never ships to production.
* fix(desktop): use Ctrl+Shift+D for dialog gallery (mac-friendly)
The Cmd/Ctrl+Alt+Shift+D chord is impractical on macOS (Option mangles
the keypress). Ctrl+Shift+D is the same chord on every platform and uses
neither Cmd nor Option.
* fix(desktop): stop overriding button icon size to size-4
Action buttons hardcoded size-4 icons, overriding the Button component's
built-in size-3.5. That extra 2px is why boot-failure / onboarding / gateway
buttons looked chunkier than the settings "Apply" (size-3.5 spinner) despite
being the same component+size. Drop the overrides so icons inherit 3.5.
* feat(desktop): add BrandMark, use it in the updates overlay hero
New BrandMark renders the white logo.png on a hardcoded brand-blue tile
(#0000F2 light / #222 dark), replacing the generic Sparkles hero glyph in
the "update available" overlay. Trying it here first to iterate on the look.
NOTE: apps/desktop/public/logo.png is currently a 1x1 placeholder — the tile
renders now; the glyph appears once the real white logo art is dropped in.
* feat(desktop): add real logo.png asset, render it white in BrandMark
logo.png is blue line-art on transparent, so force it white via filter to
read on both the brand-blue (#0000F2) and near-black (#222) tiles. Bump the
glyph to 62% of the tile for the portrait aspect.
* fix(desktop): BrandMark renders logo as-is, no light bg/radius/padding
Drop the white filter, the hardcoded light-mode blue tile, the radius, and
the inner padding. Logo now fills the tile over a transparent surface in
light mode; dark keeps the #222 tile.
* fix(desktop): bump updates-overlay BrandMark to size-16
* feat(desktop): use downscaled karb.webp in BrandMark
Swap the BrandMark glyph to karb.webp, downscaled from 1129x1418/888KB to
254x320/81KB for the hero badge.
* feat(desktop): use nous-girl mark in BrandMark, invert in dark
Key the white background to transparent so only the black line-art remains
(384px/20KB webp). Light mode shows black art; dark mode flips it white via
dark:invert on the #222 tile. Drop the now-unused karb.webp and logo.png.
* fix(desktop): BrandMark uses nous-girl as-is (no transparent/invert)
The dark-mode invert read as a creepy negative. Use the opaque black-on-white
mark unchanged in both themes; drop the white-key, dark:invert, and #222 tile.
* fix(desktop): give BrandMark an explicit white bg tile
* fix(desktop): use nous-girl.jpg directly in BrandMark
* perf(desktop): downscale nous-girl.jpg to 256x256 (466KB -> 19KB)
* style(desktop): bump nous light --theme-secondary to 14% blue
* fix(desktop): outline button is transparent, not chrome-filled
The outline variant used bg-background (the chrome color), so on cards/overlays
with a different surface it rendered as an odd gray-blue fill (visible on the
boot overlay's Repair install / Use local gateway). Make it bg-transparent so
it inherits the surface like a real outline. Reverts the unrelated
--theme-secondary tweak.
* fix(desktop): clean outline button — thin border, no shadow/fill
Drop shadow-xs and the resting fills (light chrome bg, dark bg-input/30) so
outline is just a thin clean border with a subtle hover, in both themes.
* fix(desktop): stop forcing tertiary bg on outline buttons
A global [data-variant='outline'] rule set background: var(--ui-bg-tertiary),
which (attribute-selector specificity) overrode the cva bg-transparent — so
outline buttons always showed the pale tertiary fill on cards/overlays
regardless of the variant classes. Scope that fill to secondary only; outline
is now a true transparent border.
* style(desktop): unified overlay design system + restore #38631 flat-UI
Overlays/dialogs/toasts share a custom shadow-nous (downward-weighted) and
--stroke-nous hairline instead of hard borders: boot-failure, install,
notifications, model-picker, onboarding, prompt-overlays, updates, Dialog.
- button: outline is a 1px inset ring (no fill/shadow); chrome lives in Button
- BrandMark: 256px nous-girl mark replaces sparkle glyphs (updates/onboarding/about)
- onboarding: conditional header, lemniscate-bloom loaders, OTP device-code boxes,
NOUS CONNECTED hero (ascii decode) + cuneiform easter egg, "Begin" matrix exit
- shared LogView + ErrorState; math/ascii loaders over "Loading..." text
- appearance-settings flattened to SegmentedControl/ListRow; keybind-panel on
shadow-nous + text-variant reset
- restore flat-UI clobbered by #38631's stale-squash (
|
||
|---|---|---|
| .github | ||
| .plans | ||
| acp_adapter | ||
| acp_registry | ||
| agent | ||
| apps | ||
| assets | ||
| cron | ||
| datagen-config-examples | ||
| docker | ||
| docs | ||
| gateway | ||
| hermes_cli | ||
| infographic/kanban-db-corruption-defense | ||
| locales | ||
| nix | ||
| optional-mcps | ||
| optional-skills | ||
| packaging/homebrew | ||
| plans | ||
| plugins | ||
| providers | ||
| scripts | ||
| skills | ||
| tests | ||
| tools | ||
| tui_gateway | ||
| ui-tui | ||
| web | ||
| website | ||
| .dockerignore | ||
| .env.example | ||
| .envrc | ||
| .gitattributes | ||
| .gitignore | ||
| .hadolint.yaml | ||
| .mailmap | ||
| AGENTS.md | ||
| batch_runner.py | ||
| cli-config.yaml.example | ||
| cli.py | ||
| constraints-termux.txt | ||
| CONTRIBUTING.md | ||
| docker-compose.windows.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| flake.lock | ||
| flake.nix | ||
| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_bootstrap.py | ||
| 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 | ||
| README.zh-CN.md | ||
| run_agent.py | ||
| SECURITY.md | ||
| setup-hermes.sh | ||
| setup.py | ||
| 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), NovitaAI (AI-native cloud for Model API, Agent Sandbox, and GPU Cloud), 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, 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. |
| Research-ready | Batch trajectory generation, trajectory compression for training the next generation of tool-calling models. |
Quick Install
Linux, macOS, WSL2, Termux
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.
Run this in 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. 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~/.hermesas on Linux. The only Hermes feature that currently needs WSL2 specifically is the browser-based dashboard chat pane (it uses a POSIX PTY — classic CLI and gateway both run natively).
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
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 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:
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.
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 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
Community
- 💬 Discord
- 📚 Skills Hub
- 🐛 Issues
- 🔌 computer-use-linux — Linux desktop-control MCP server for Hermes and other MCP hosts, with AT-SPI accessibility trees, Wayland/X11 input, screenshots, and compositor window targeting.
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.