3ffbdfbcc0
* desktop: surface /tools, /save, /personality and fix /help skill count
Move /tools and /save out of TERMINAL_ONLY_COMMANDS and /personality out of
ADVANCED_COMMANDS so they appear in the desktop slash palette and execute via
the existing slash.exec → command.dispatch fallback. The backend gateway already
accepts these through slash.exec (none are in _PENDING_INPUT_COMMANDS or the
skill list), so no backend change is required.
Recompute skill_count in filterDesktopCommandsCatalog from the filtered pairs.
Previously the /help footer echoed the unfiltered backend total — e.g. "60
skill commands available" while only ~29 actually appeared in the rendered
list, because the desktop hides terminal-only, picker-owned, and advanced
commands.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* desktop: keep slash popover live while typing args
The trigger regex `(?:^|[\s])([@/])([^\s@/]*)$` stopped matching the moment
the user typed a space after a slash command, so the popover never showed arg
completions for `/personality`, `/tools`, etc. — even though the backend's
`complete.slash` already returns them with a `replace_from` indicator.
Split the trigger detection so `/` allows args (`/cmd arg1 arg2`) while `@`
keeps the strict no-space behavior. Restrict the slash command name to
`[a-zA-Z][\w-]*` so file paths like `src/foo/bar` don't accidentally trigger
the popover.
Rewrite arg-completion items in useSlashCompletions to insert the full
`/personality alice` token instead of stranding `/alice`: when `replace_from`
is past the command base, prepend the existing prefix to each item's text so
the chip serializer produces a coherent replacement.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* cli: complete toolset names after /tools enable|disable
SlashCommandCompleter previously only auto-derived the first subcommand level
from args_hint, so `/tools enable <tab>` yielded nothing — the user had to
remember every toolset key (web, file, spotify, …) and every MCP server prefix.
Add `_tools_completions` that handles both stages: subcommand (list|disable|enable)
and tool name. Filter by current enable state so `/tools enable <tab>` only
offers disabled toolsets and `/tools disable <tab>` only offers enabled ones —
no point suggesting a no-op. MCP server prefixes (server:) come from the
saved mcp_servers config; per-tool completion under a server would require
runtime MCP introspection and is left as follow-up.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* desktop: registry-driven slash commands with first-class pickers
Collapse the if/else slash dispatch into one DESKTOP_COMMAND_SPECS table
that drives popover suggestions, per-type composer pills, and execution.
- /resume, /sessions, /switch: inline session completions (like /skin) plus
a "Browse all sessions…" entry that opens a dedicated session picker overlay
- /handoff: inline platform completion + handoff.request/handoff.state
gateway bridge so desktop reaches CLI parity
- colored per-type pills (command/skill/theme) in the composer
- strip ANSI and fix width/alignment of slash output in the chat panel
* desktop: fold repeated slash session/output boilerplate into one helper
runExec, /title, /help and the unavailable case each re-derived the same
ensure-session → bail-with-notify → build-renderSlashOutput dance.
withSlashOutput() returns {sessionId, render} or null, so each handler is
a two-line resolve instead of an eight-line preamble.
* desktop: keep backend meta on slash arg completions
Arg suggestions (/personality <name>, /tools enable <toolset>, /handoff
<platform>) were having their meta overwritten with the parent command's
registry description: desktopSlashDescription("/personality none") canonicalizes
back to /personality and returns its blurb. Skip the lookup for arg rows so the
backend's own display_meta ("clear personality overlay", etc.) survives.
* cli: list real personalities in /personality completion
_personality_completions resolved load_config().agent.personalities — but that
schema has no agent.personalities key, so completion always returned just
`none` even though the runtime (load_cli_config().agent.personalities) ships a
dozen built-ins (helpful, kawaii, pirate, …). Read from the same source the
command actually applies, so `/personality ` surfaces the real options.
* desktop: expand bare arg-commands to their options on pick
Picking a command like /personality from the slash popover committed it
immediately instead of advancing to its argument list. Mark arg-taking
commands (/skin, /resume, /handoff, /personality, /tools) in the registry
and, when one is picked bare, insert "/cmd " as plain text and re-open the
popover on its inline options — mirroring typing "/cmd " by hand. Arg picks
(serialized text already contains a space) still commit a single pill.
Also realign trigger-popover loading test with the redesigned popover (the
/help empty-state hint shows when resolved, not while the spinner is up);
the merge from main reintroduced the pre-redesign expectation.
* tui_gateway: fold session-db close into a context manager
Both handoff RPCs repeated the same `db, close_db = _session_db_handle()`
+ `finally: if close_db: db.close()` dance. Turn the helper into a
`_session_db` contextmanager that owns the close, so callers just
`with _session_db(session) as db:`.
* desktop: unblock handoff retries and exact resume ids
Clear timed-out desktop handoffs through the gateway so retries are not stuck behind a pending row, and let typed /resume session ids bypass the loaded sidebar cache.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
|
||
|---|---|---|
| .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.ur-pk.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.
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.