Teknium b62a82e0c3 docs: pluggable surfaces coverage — model-provider guide, full plugin map, opt-in fix (#20749)
* docs(providers): add model-provider-plugin authoring guide + fix stale refs

New docs:
- website/docs/developer-guide/model-provider-plugin.md — full authoring
  guide (directory layout, minimal example, ProviderProfile fields,
  overridable hooks, user overrides, api_mode selection, auth types,
  testing, pip distribution)
- Wired into website/sidebars.ts under 'Extending'
- Cross-references added in:
  - guides/build-a-hermes-plugin.md (tip block)
  - developer-guide/adding-providers.md
  - developer-guide/provider-runtime.md

User guide:
- user-guide/features/plugins.md: Plugin types table grows from 3 to 4
  with 'Model providers' row

Stale comment cleanup (providers/*.py → plugins/model-providers/<name>/):
- hermes_cli/main.py:_is_profile_api_key_provider docstring
- hermes_cli/doctor.py:_build_apikey_providers_list docstring
- hermes_cli/auth.py: PROVIDER_REGISTRY + alias auto-extension comments
- hermes_cli/models.py: CANONICAL_PROVIDERS auto-extension comment

AGENTS.md:
- Project-structure tree: added plugins/model-providers/ row
- New section: 'Model-provider plugins' explaining discovery, override
  semantics, PluginManager integration, kind auto-coerce heuristic

Verified: docusaurus build succeeds, new page renders, all 3 cross-links
resolve. 347/347 targeted tests pass (tests/providers/,
tests/hermes_cli/test_plugins.py, tests/hermes_cli/test_runtime_provider_resolution.py,
tests/run_agent/test_provider_parity.py).

* docs(plugins): add 'pluggable interfaces at a glance' maps to plugins.md + build-a-hermes-plugin

Devs landing on either the user-guide plugin page or the build-a-plugin
guide now get an upfront table of every distinct pluggable surface with
a link to the right authoring doc. Previously they'd have to read the
full general-plugin guide to discover that model providers / platforms
/ memory / context engines are separate systems.

user-guide/features/plugins.md:
- New 'Pluggable interfaces — where to go for each' section below the
  existing 4-kinds table
- 10 rows covering every register_* surface (tool, hook, slash command,
  CLI subcommand, skill, model provider, platform, memory, context
  engine, image-gen)
- Explicit note: TTS/STT are NOT plugin-extensible yet — documented
  with a pointer to the current config.yaml 'command providers' pattern
  and a note that register_tts_provider()/register_stt_provider() may
  come later

guides/build-a-hermes-plugin.md:
- New :::info 'Not sure which guide you need?' map at the top so devs
  see all pluggable interfaces before investing in this 737-line
  general-plugin walkthrough
- Existing bottom :::tip expanded to include platform adapters alongside
  model/memory/context plugins

Verified:
- All 8 cross-doc links in the new plugins.md table resolve in a
  docusaurus build (SUCCESS, no new broken links)
- TTS link corrected (features/voice → features/tts; latter exists)
- Pre-existing broken links/anchors (cron-script-only, llms.txt,
  adding-platform-adapters#step-by-step-checklist) are unchanged

* docs(plugins): correct TTS/STT pluggability \u2014 they ARE plugins (command-providers)

Previous commit incorrectly said TTS/STT 'aren't plugin-extensible'. They
are, via the config-driven command-provider pattern \u2014 any CLI that reads
text and writes audio (or vice versa for STT) is automatically a plugin
with zero Python. The tts.md docs cover this extensively and I missed it.

plugins.md:
- TTS row: 'Config-driven (not a Python plugin)', points at
  tts.md#custom-command-providers
- STT row: points at tts.md#voice-message-transcription-stt (STT docs
  live in tts.md despite the filename)
- Expanded note: TTS/STT use config-driven shell-command templates as
  their plugin surface (full tts.providers.<name> registry for TTS;
  HERMES_LOCAL_STT_COMMAND escape hatch for STT)
- Any CLI that reads/writes files is automatically a plugin \u2014 no Python
  register_* API needed
- Future register_tts_provider()/register_stt_provider() hooks mentioned
  as nice-to-have for SDK/streaming cases, not as the primary story

build-a-hermes-plugin.md:
- Same map update: TTS/STT rows explicit, footer note corrected

Verified:
- tts.md anchors (custom-command-providers, voice-message-transcription-stt)
  exist and resolve in docusaurus build (SUCCESS, no new broken links)

* docs(plugins): expand pluggable interfaces table with MCP / event hooks / shell hooks / skill taps

Broadened the scope beyond Python register_* hooks. Hermes has MULTIPLE
plugin-style extension surfaces; they're now all in one table instead of
being scattered across feature docs.

Added rows for:
- **MCP servers** — config.yaml mcp_servers.<name> auto-registers external
  tools from any MCP server. Huge extensibility surface, previously not
  linked from the plugin map.
- **Gateway event hooks** — drop HOOK.yaml + handler.py into
  ~/.hermes/hooks/<name>/ to fire on gateway:startup, session:*, agent:*,
  command:* events. Separate from Python plugin hooks.
- **Shell hooks** — hooks: block in config.yaml runs shell commands on
  events (notifications, auditing, etc.).
- **Skill sources (taps)** — hermes skills tap add <repo> to pull in new
  skill registries beyond the built-in sources.

Both docs updated:
- user-guide/features/plugins.md: table column renamed to 'How' (mixes
  Python API + config-driven + drop-in-dir surfaces accurately)
- guides/build-a-hermes-plugin.md: :::info map at top mirrors the new
  surfaces with a forward-link to the consolidated table

Note block rewritten: instead of singling out TTS/STT as the 'different
style' exception, now honestly describes that Hermes deliberately
supports three plugin styles — Python APIs, config-driven commands, and
drop-in manifest directories — and devs should pick the one that fits
their integration.

Not included (considered and rejected):
- Transport layer (register_transport) — internal, not user-facing
- Tool-call parsers — internal, VLLM phase-2 thing
- Cloud browser providers — hardcoded registry, not drop-in yet
- Terminal backends — hardcoded if/elif, not drop-in yet
- Skill sources (the ABC) — hardcoded list, only taps are user-extensible

Verified:
- All 5 new anchors resolve (gateway-event-hooks, shell-hooks, skills-hub,
  custom-command-providers, voice-message-transcription-stt)
- Docusaurus build SUCCESS, zero new broken links
- Same 3 pre-existing broken links on main (cron-script-only, llms.txt,
  adding-platform-adapters#step-by-step-checklist)

* docs(plugins): cover every pluggable surface in both the overview and how-to

Both plugins.md and build-a-hermes-plugin.md now cover every extension
surface end-to-end \u2014 general plugin APIs, specialized plugin types,
config-driven surfaces \u2014 with concrete authoring patterns for each.

plugins.md:
- 'What plugins can do' table grows from 9 rows (general ctx.register_*
  only) to 14 rows covering register_platform, register_image_gen_provider,
  register_context_engine, MemoryProvider subclass, register_provider
  (model). Each row links to its full authoring guide.
- New 'Plugin sub-categories' section under Plugin Discovery explains
  how plugins/platforms/, plugins/image_gen/, plugins/memory/,
  plugins/context_engine/, plugins/model-providers/ are routed to
  different loaders \u2014 PluginManager vs the per-category own-loader
  systems.
- Explicit mention of user-override semantics at
  ~/.hermes/plugins/model-providers/ and ~/.hermes/plugins/memory/.

build-a-hermes-plugin.md:
- New '## Specialized plugin types' section (5 sub-sections):
  - Model provider plugins \u2014 ProviderProfile + plugin.yaml example,
    auto-wiring summary, link to full guide
  - Platform plugins \u2014 BasePlatformAdapter + register_platform() skeleton
  - Memory provider plugins \u2014 MemoryProvider subclass example
  - Context engine plugins \u2014 ContextEngine subclass example
  - Image-generation backends \u2014 ImageGenProvider + kind: backend example
- New '## Non-Python extension surfaces' section (5 sub-sections):
  - MCP servers \u2014 config.yaml mcp_servers.<name> example
  - Gateway event hooks \u2014 HOOK.yaml + handler.py example
  - Shell hooks \u2014 hooks: block in config.yaml example
  - Skill sources (taps) \u2014 hermes skills tap add example
  - TTS / STT command templates \u2014 tts.providers.<name> with type: command
- Distribute via pip / NixOS promoted from ### to ## (they were orphaned
  after the reorganization)

Each specialized / non-Python section has a concrete, copy-pasteable
example plus a 'Full guide:' link to the authoritative doc. Devs arriving
at the build-a-hermes-plugin guide now see every extension surface at
their disposal, not just the general tool/hook/slash-command surface.

Verified:
- Docusaurus build SUCCESS, zero new broken links
- All new cross-links (developer-guide/model-provider-plugin,
  adding-platform-adapters, memory-provider-plugin, context-engine-plugin,
  user-guide/features/mcp, skills#skills-hub, hooks#gateway-event-hooks,
  hooks#shell-hooks, tts#custom-command-providers,
  tts#voice-message-transcription-stt) resolve
- Same 3 pre-existing broken links on main (cron-script-only, llms.txt,
  adding-platform-adapters#step-by-step-checklist)

* docs(plugins): fix opt-in inconsistency — not every plugin is gated

The 'Every plugin is disabled by default' statement was wrong. Several
plugin categories intentionally bypass plugins.enabled:

- Bundled platform plugins (IRC, Teams) auto-load so shipped gateway
  channels are available out of the box. Activation per channel is via
  gateway.platforms.<name>.enabled.
- Bundled backends (plugins/image_gen/*) auto-load so the default
  backend 'just works'. Selection via <category>.provider config.
- Memory providers are all discovered; one is active via memory.provider.
- Context engines are all discovered; one is active via context.engine.
- Model providers: all 33 discovered at first get_provider_profile();
  user picks via --provider / config.

The plugins.enabled allow-list specifically gates:
- Standalone plugins (general tools/hooks/slash commands)
- User-installed backends
- User-installed platforms (third-party gateway adapters)
- Pip entry-point backends

Which matches the actual code in hermes_cli/plugins.py:737 where the
bundled+backend/platform check bypasses the allow-list.

Rewrote '## Plugins are opt-in' to:
- Retitle to 'Plugins are opt-in (with a few exceptions)'
- Narrow opening claim to 'General plugins and user-installed backends
  are disabled by default'
- Added 'What the allow-list does NOT gate' subsection with a full
  table of which bypass the gate and how they're activated instead
- Fixed migration section wording (bundled platform/backend plugins
  never needed grandfathering)

Verified: docusaurus build SUCCESS, zero new broken links.
2026-05-06 07:24:42 -07:00
2026-02-25 11:53:44 -08:00
2026-04-10 00:46:37 -04:00
2026-05-01 16:29:46 +10:00
2026-04-11 15:30:37 -04:00
2026-03-07 13:43:08 -08:00

Hermes Agent

Hermes Agent ☤

Documentation Discord License: MIT Built by Nous Research 中文

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 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 laptopSeven terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. 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

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

📖 Full documentation →

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 the atroposlib and tinker dependencies pulled in by .[all,dev] — no submodule setup required.


Community


License

MIT — see LICENSE.

Built by Nous Research.

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