| name | hermes-agent |
| description | Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions. |
| version | 2.0.0 |
| author | Hermes Agent + Teknium |
| license | MIT |
| metadata | {"hermes":{"tags":["hermes","setup","configuration","multi-agent","spawning","cli","gateway","development"],"homepage":"https://github.com/NousResearch/hermes-agent","related_skills":["Codex","codex","opencode"]}} |
Hermes Agent
Hermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Codex (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.
What makes Hermes different:
- Self-improving through skills — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.
- Persistent memory across sessions — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.
- Multi-platform gateway — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 8+ other platforms with full tool access, not just chat.
- Provider-agnostic — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.
- Profiles — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.
- Extensible — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.
People use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.
This skill helps you work with Hermes Agent effectively — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.
Docs: https://hermes-agent.nousresearch.com/docs/
Windows install: For setting up Hermes in a repo-centric workspace on Windows, load the hermes-windows-setup skill. It covers prerequisites (git, Python, uv, gh), workspace structure, skills system, memory bridge, multi-agent coordination, and Windows-specific pitfalls.
Quick Start
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
hermes
hermes chat -q "What is the capital of France?"
hermes setup
hermes model
hermes doctor
CLI Reference
Global Flags
hermes [flags] [command]
--version, -V Show version
--resume, -r SESSION Resume session by ID or title
--continue, -c [NAME] Resume by name, or most recent session
--worktree, -w Isolated git worktree mode (parallel agents)
--skills, -s SKILL Preload skills (comma-separate or repeat)
--profile, -p NAME Use a named profile
--yolo Skip dangerous command approval
--pass-session-id Include session ID in system prompt
No subcommand defaults to chat.
Chat
hermes chat [flags]
-q, --query TEXT Single query, non-interactive
-m, --model MODEL Model (e.g. anthropic/Codex-sonnet-4)
-t, --toolsets LIST Comma-separated toolsets
--provider PROVIDER Force provider (openrouter, anthropic, nous, etc.)
-v, --verbose Verbose output
-Q, --quiet Suppress banner, spinner, tool previews
--checkpoints Enable filesystem checkpoints (/rollback)
--source TAG Session source tag (default: cli)
Configuration
hermes setup [section] Interactive wizard (model|terminal|gateway|tools|agent)
hermes model Interactive model/provider picker
hermes config View current config
hermes config edit Open config.yaml in $EDITOR
hermes config set KEY VAL Set a config value
hermes config path Print config.yaml path
hermes config env-path Print .env path
hermes config check Check for missing/outdated config
hermes config migrate Update config with new options
hermes login [--provider P] OAuth login (nous, openai-codex)
hermes logout Clear stored auth
hermes doctor [--fix] Check dependencies and config
hermes status [--all] Show component status
Tools & Skills
hermes tools Interactive tool enable/disable (curses UI)
hermes tools list Show all tools and status
hermes tools enable NAME Enable a toolset
hermes tools disable NAME Disable a toolset
hermes skills list List installed skills
hermes skills search QUERY Search the skills hub
hermes skills install ID Install a skill
hermes skills inspect ID Preview without installing
hermes skills config Enable/disable skills per platform
hermes skills check Check for updates
hermes skills update Update outdated skills
hermes skills uninstall N Remove a hub skill
hermes skills publish PATH Publish to registry
hermes skills browse Browse all available skills
hermes skills tap add REPO Add a GitHub repo as skill source
MCP Servers
hermes mcp serve Run Hermes as an MCP server
hermes mcp add NAME Add an MCP server (--url or --command)
hermes mcp remove NAME Remove an MCP server
hermes mcp list List configured servers
hermes mcp test NAME Test connection
hermes mcp configure NAME Toggle tool selection
Gateway (Messaging Platforms)
hermes gateway run Start gateway foreground
hermes gateway install Install as background service
hermes gateway start/stop Control the service
hermes gateway restart Restart the service
hermes gateway status Check status
hermes gateway setup Configure platforms
System-level install (persistent across reboots, runs as systemd service):
# sudo strips PATH — use full path to hermes binary
sudo $(which hermes) gateway install --system # Install as system service (not --user)
sudo $(which hermes) gateway start --system
sudo $(which hermes) gateway status --system
sudo $(which hermes) gateway restart --system
PITFALL — env vars not loaded by systemd: After adding vars to ~/.hermes/.env, the systemd service won't see them. Add EnvironmentFile=/home/vamsee/.hermes/.env to the service file:
sudo sed -i '/WorkingDirectory/a EnvironmentFile=/home/vamsee/.hermes/.env' /etc/systemd/system/hermes-gateway.service
sudo systemctl daemon-reload
sudo $(which hermes) gateway restart --system
Supported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, API Server, Webhooks, Open WebUI.
Platform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/
Sessions
hermes sessions list List recent sessions
hermes sessions browse Interactive picker
hermes sessions export OUT Export to JSONL
hermes sessions rename ID T Rename a session
hermes sessions delete ID Delete a session
hermes sessions prune Clean up old sessions (--older-than N days)
hermes sessions stats Session store statistics
Cron Jobs
hermes cron list List jobs (--all for disabled)
hermes cron create SCHED Create: '30m', 'every 2h', '0 9 * * *'
hermes cron edit ID Edit schedule, prompt, delivery
hermes cron pause/resume ID Control job state
hermes cron run ID Trigger on next tick
hermes cron remove ID Delete a job
hermes cron status Scheduler status
Webhooks
hermes webhook subscribe N Create route at /webhooks/<name>
hermes webhook list List subscriptions
hermes webhook remove NAME Remove a subscription
hermes webhook test NAME Send a test POST
Profiles
hermes profile list List all profiles
hermes profile create NAME Create (--clone, --clone-all, --clone-from)
hermes profile use NAME Set sticky default
hermes profile delete NAME Delete a profile
hermes profile show NAME Show details
hermes profile alias NAME Manage wrapper scripts
hermes profile rename A B Rename a profile
hermes profile export NAME Export to tar.gz
hermes profile import FILE Import from archive
Credential Pools
hermes auth add Interactive credential wizard
hermes auth list [PROVIDER] List pooled credentials
hermes auth remove P INDEX Remove by provider + index
hermes auth reset PROVIDER Clear exhaustion status
Other
hermes insights [--days N] Usage analytics
hermes update Update to latest version
hermes pairing list/approve/revoke DM authorization
hermes plugins list/install/remove Plugin management
hermes honcho setup/status Honcho memory integration
hermes memory setup/status/off Memory provider config
hermes completion bash|zsh Shell completions
hermes acp ACP server (IDE integration)
hermes claw migrate Migrate from OpenClaw
hermes uninstall Uninstall Hermes
Slash Commands (In-Session)
Type these during an interactive chat session.
Session Control
/new (/reset) Fresh session
/clear Clear screen + new session (CLI)
/retry Resend last message
/undo Remove last exchange
/title [name] Name the session
/compress Manually compress context
/stop Kill background processes
/rollback [N] Restore filesystem checkpoint
/background <prompt> Run prompt in background
/queue <prompt> Queue for next turn
/resume [name] Resume a named session
Configuration
/config Show config (CLI)
/model [name] Show or change model
/provider Show provider info
/prompt [text] View/set system prompt (CLI)
/personality [name] Set personality
/reasoning [level] Set reasoning (none|low|medium|high|xhigh|show|hide)
/verbose Cycle: off → new → all → verbose
/voice [on|off|tts] Voice mode
/yolo Toggle approval bypass
/skin [name] Change theme (CLI)
/statusbar Toggle status bar (CLI)
Tools & Skills
/tools Manage tools (CLI)
/toolsets List toolsets (CLI)
/skills Search/install skills (CLI)
/skill <name> Load a skill into session
/cron Manage cron jobs (CLI)
/reload-mcp Reload MCP servers
/plugins List plugins (CLI)
Info
/help Show commands
/commands [page] Browse all commands (gateway)
/usage Token usage
/insights [days] Usage analytics
/status Session info (gateway)
/profile Active profile info
Exit
/quit (/exit, /q) Exit CLI
Key Paths & Config
~/.hermes/config.yaml Main configuration
~/.hermes/.env API keys and secrets
~/.hermes/skills/ Installed skills
~/.hermes/sessions/ Session transcripts
~/.hermes/logs/ Gateway and error logs
~/.hermes/auth.json OAuth tokens and credential pools
~/.hermes/hermes-agent/ Source code (if git-installed)
Profiles use ~/.hermes/profiles/<name>/ with the same layout.
Config Sections
Edit with hermes config edit or hermes config set section.key value.
Skill-Specific Config
Some skills declare their own config keys in SKILL.md frontmatter under metadata.hermes.config.
Hermes stores these under skills.config.* in ~/.hermes/config.yaml, prompts for missing values during hermes config migrate, and shows them in hermes config under ◆ Skill Settings.
Example:
metadata:
hermes:
config:
- key: wiki.path
description: Path to the LLM Wiki knowledge base directory
default: "~/wiki"
Stored in config as:
skills:
config:
wiki:
path: /home/user/wiki
Useful commands:
hermes config check
hermes config migrate
hermes config set skills.config.wiki.path /home/user/wiki
hermes config
Current learned behavior/pitfalls:
- Hermes stores skill-specific config under
skills.config.* in config.yaml, even when prompts display the logical key (for example wiki.path).
- In the audited install, the only discovered skill-declared custom config key across built-in Hermes skills plus external workspace-hub skill dirs was
wiki.path from llm-wiki.
- Verify the configured path actually exists before accepting a migrated default; one observed config had
wiki.path=/home/vamsee/wiki even though that directory was missing, while the real workspace wiki root lived at /mnt/local-analysis/workspace-hub/knowledge/wikis.
hermes config is the quickest way to verify skill settings after config set; hermes config check may still report optional web env vars as missing even when toolsets are enabled.
- Approval-mode naming is inconsistent across this codebase: runtime approval logic in
tools/approval.py recognizes manual, smart, and off, while hermes_cli/web_server.py exposes ask, yolo, and deny. Treat manual/smart/off as authoritative for runtime behavior unless the UI mapping is verified in the current build.
- Web tool availability is backend-credential driven. If
hermes doctor reports missing EXA_API_KEY, PARALLEL_API_KEY, TAVILY_API_KEY, FIRECRAWL_API_KEY, or FIRECRAWL_API_URL, then web_search/web_extract are not fully enabled regardless of the toolset toggle.
To audit which installed skills declare custom config, search SKILL frontmatter for metadata.hermes.config / key: entries across both built-in and external skill directories.
| Section | Key options |
|---|
model | default, provider, base_url, api_key, context_length |
agent | max_turns (90), tool_use_enforcement |
terminal | backend (local/docker/ssh/modal), cwd, timeout (180) |
compression | enabled, threshold (0.50), target_ratio (0.20) |
display | skin, tool_progress, show_reasoning, show_cost |
stt | enabled, provider (local/groq/openai) |
tts | provider (edge/elevenlabs/openai/kokoro/fish) |
memory | memory_enabled, user_profile_enabled, provider |
security | tirith_enabled, website_blocklist |
delegation | model, provider, max_iterations (50) |
smart_model_routing | enabled, cheap_model |
checkpoints | enabled, max_snapshots (50) |
Full config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration
Providers
18 providers supported. Set via hermes model or hermes setup.
| Provider | Auth | Key env var |
|---|
| OpenRouter | API key | OPENROUTER_API_KEY |
| Anthropic | API key | ANTHROPIC_API_KEY |
| Nous Portal | OAuth | hermes login --provider nous |
| OpenAI Codex | OAuth | hermes login --provider openai-codex |
| GitHub Copilot | Token | COPILOT_GITHUB_TOKEN |
| DeepSeek | API key | DEEPSEEK_API_KEY |
| Hugging Face | Token | HF_TOKEN |
| Z.AI / GLM | API key | GLM_API_KEY |
| MiniMax | API key | MINIMAX_API_KEY |
| Kimi / Moonshot | API key | KIMI_API_KEY |
| Alibaba / DashScope | API key | DASHSCOPE_API_KEY |
| Kilo Code | API key | KILOCODE_API_KEY |
| Custom endpoint | Config | model.base_url + model.api_key in config.yaml |
Plus: AI Gateway, OpenCode Zen, OpenCode Go, MiniMax CN, GitHub Copilot ACP.
Full provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers
Approval Mode Caveat
Hermes currently has a config/UI mismatch in some builds:
- Runtime approval engine (
tools/approval.py) uses approvals.mode values: manual, smart, off
- Some web UI schemas (
hermes_cli/web_server.py) may still show: ask, yolo, deny
Prefer editing approvals.mode directly in config.yaml or via hermes config set approvals.mode ... using the runtime values manual, smart, or off.
manual — normal approval prompts
smart — auxiliary LLM auto-approves clearly safe commands, auto-denies clearly dangerous ones, escalates uncertain cases
off — bypass approval prompts entirely
Treat ask/yolo/deny as stale UI labels unless you have verified the mapping in your installed build.
Toolsets
Enable/disable via hermes tools (interactive) or hermes tools enable/disable NAME.
| Toolset | What it provides |
|---|
web | Web search and content extraction |
browser | Browser automation (Browserbase, Camofox, or local Chromium) |
terminal | Shell commands and process management |
file | File read/write/search/patch |
code_execution | Sandboxed Python execution |
vision | Image analysis |
image_gen | AI image generation |
tts | Text-to-speech |
skills | Skill browsing and management |
memory | Persistent cross-session memory |
session_search | Search past conversations |
delegation | Subagent task delegation |
cronjob | Scheduled task management |
clarify | Ask user clarifying questions |
moa | Mixture of Agents (off by default) |
homeassistant | Smart home control (off by default) |
Tool changes take effect on /reset (new session). They do NOT apply mid-conversation to preserve prompt caching.
Voice & Transcription
STT (Voice → Text)
Voice messages from messaging platforms are auto-transcribed.
Provider priority (auto-detected):
- Local faster-whisper — free, no API key:
pip install faster-whisper
- Groq Whisper — free tier: set
GROQ_API_KEY
- OpenAI Whisper — paid: set
VOICE_TOOLS_OPENAI_KEY
Config:
stt:
enabled: true
provider: local
local:
model: base
TTS (Text → Voice)
| Provider | Env var | Free? |
|---|
| Edge TTS | None | Yes (default) |
| ElevenLabs | ELEVENLABS_API_KEY | Free tier |
| OpenAI | VOICE_TOOLS_OPENAI_KEY | Paid |
| Kokoro (local) | None | Free |
| Fish Audio | FISH_AUDIO_API_KEY | Free tier |
Voice commands: /voice on (voice-to-voice), /voice tts (always voice), /voice off.
Spawning Additional Hermes Instances
Run additional Hermes processes as fully independent subprocesses — separate sessions, tools, and environments.
When to Use This vs delegate_task
| delegate_task | Spawning hermes process |
|---|
| Isolation | Separate conversation, shared process | Fully independent process |
| Duration | Minutes (bounded by parent loop) | Hours/days |
| Tool access | Subset of parent's tools | Full tool access |
| Interactive | No | Yes (PTY mode) |
| Use case | Quick parallel subtasks | Long autonomous missions |
One-Shot Mode
terminal(command="hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'", timeout=300)
# Background for long tasks:
terminal(command="hermes chat -q 'Set up CI/CD for ~/myapp'", background=true)
Interactive PTY Mode (via tmux)
Hermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:
# Start
terminal(command="tmux new-session -d -s agent1 -x 120 -y 40 'hermes'", timeout=10)
# Wait for startup, then send a message
terminal(command="sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter", timeout=15)
# Read output
terminal(command="sleep 20 && tmux capture-pane -t agent1 -p", timeout=5)
# Send follow-up
terminal(command="tmux send-keys -t agent1 'Add rate limiting middleware' Enter", timeout=5)
# Exit
terminal(command="tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1", timeout=10)
Multi-Agent Coordination
# Agent A: backend
terminal(command="tmux new-session -d -s backend -x 120 -y 40 'hermes -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter", timeout=15)
# Agent B: frontend
terminal(command="tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter", timeout=15)
# Check progress, relay context between them
terminal(command="tmux capture-pane -t backend -p | tail -30", timeout=5)
terminal(command="tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter", timeout=5)
Session Resume
# Resume most recent session
terminal(command="tmux new-session -d -s resumed 'hermes --continue'", timeout=10)
# Resume specific session
terminal(command="tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'", timeout=10)
Tips
- Prefer
delegate_task for quick subtasks — less overhead than spawning a full process
- Use
-w (worktree mode) when spawning agents that edit code — prevents git conflicts
- Set timeouts for one-shot mode — complex tasks can take 5-10 minutes
- Use
hermes chat -q for fire-and-forget — no PTY needed
- Use tmux for interactive sessions — raw PTY mode has
\r vs \n issues with prompt_toolkit
- For scheduled tasks, use the
cronjob tool instead of spawning — handles delivery and retry
Troubleshooting
Voice not working
- Check
stt.enabled: true in config.yaml
- Verify provider:
pip install faster-whisper or set API key
- Restart gateway:
/restart
Tool not available
hermes tools — check if toolset is enabled for your platform
- Some tools need env vars (check
.env)
/reset after enabling tools
- For web tool debugging, verify the provider vars are actually present in both the current shell environment and
~/.hermes/.env (EXA_API_KEY, PARALLEL_API_KEY, TAVILY_API_KEY, FIRECRAWL_API_KEY, FIRECRAWL_API_URL). hermes doctor reports availability from real runtime config — don't assume a transient shell export or another process has made them persistent.
Model/provider issues
hermes doctor — check config and dependencies
hermes login — re-authenticate OAuth providers
- Check
.env has the right API key
Changes not taking effect
- Tools/skills:
/reset starts a new session with updated toolset
- Config changes:
/restart reloads gateway config
- Code changes: Restart the CLI or gateway process
After hermes update — stashed local changes restored
When hermes update stashes and restores local changes, inspect the diff carefully before committing:
- The
hermes launcher shebang may get rewritten from portable #!/usr/bin/env python3 to a hardcoded venv path like #!/home/user/.hermes/hermes-agent/.venv/bin/python3. Do NOT commit this — it breaks other machines. Fix: git checkout hermes to revert to the portable shebang.
package-lock.json changes (npm dependency updates) ARE safe to commit if you have a fork.
- The source repo is
NousResearch/hermes-agent.git (upstream) — you cannot push directly. To sync custom changes across machines, either fork the repo or track config in your own repo (e.g. workspace-hub/config/agents/hermes/).
Skills not showing
hermes skills list — verify installed
hermes skills config — check platform enablement
- Load explicitly:
/skill name or hermes -s name
Gateway issues
Check logs first:
grep -i "failed to send\|error" ~/.hermes/logs/gateway.log | tail -20
Where to Find Things
Contributor Quick Reference
For occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/
Project Layout
hermes-agent/
├── run_agent.py # AIAgent — core conversation loop
├── model_tools.py # Tool discovery and dispatch
├── toolsets.py # Toolset definitions
├── cli.py # Interactive CLI (HermesCLI)
├── hermes_state.py # SQLite session store
├── agent/ # Prompt builder, compression, display, adapters
├── hermes_cli/ # CLI subcommands, config, setup, commands
│ ├── commands.py # Slash command registry (CommandDef)
│ ├── config.py # DEFAULT_CONFIG, env var definitions
│ └── main.py # CLI entry point and argparse
├── tools/ # One file per tool
│ └── registry.py # Central tool registry
├── gateway/ # Messaging gateway
│ └── platforms/ # Platform adapters (telegram, discord, etc.)
├── cron/ # Job scheduler
├── tests/ # ~3000 pytest tests
└── website/ # Docusaurus docs site
Config: ~/.hermes/config.yaml (settings), ~/.hermes/.env (API keys).
Adding a Tool (3 files)
1. Create tools/your_tool.py:
import json, os
from tools.registry import registry
def check_requirements() -> bool:
return bool(os.getenv("EXAMPLE_API_KEY"))
def example_tool(param: str, task_id: str = None) -> str:
return json.dumps({"success": True, "data": "..."})
registry.register(
name="example_tool",
toolset="example",
schema={"name": "example_tool", "description": "...", "parameters": {...}},
handler=lambda args, **kw: example_tool(
param=args.get("param", ""), task_id=kw.get("task_id")),
check_fn=check_requirements,
requires_env=["EXAMPLE_API_KEY"],
)
2. Add import in model_tools.py → _discover_tools() list.
3. Add to toolsets.py → _HERMES_CORE_TOOLS list.
All handlers must return JSON strings. Use get_hermes_home() for paths, never hardcode ~/.hermes.
Adding a Slash Command
- Add
CommandDef to COMMAND_REGISTRY in hermes_cli/commands.py
- Add handler in
cli.py → process_command()
- (Optional) Add gateway handler in
gateway/run.py
All consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.
Agent Loop (High Level)
run_conversation():
1. Build system prompt
2. Loop while iterations < max:
a. Call LLM (OpenAI-format messages + tool schemas)
b. If tool_calls → dispatch each via handle_function_call() → append results → continue
c. If text response → return
3. Context compression triggers automatically near token limit
Testing
source venv/bin/activate
python -m pytest tests/ -o 'addopts=' -q
python -m pytest tests/tools/ -q
- Tests auto-redirect
HERMES_HOME to temp dirs — never touch real ~/.hermes/
- Run full suite before pushing any change
- Use
-o 'addopts=' to clear any baked-in pytest flags
Commit Conventions
type: concise subject line
Optional body.
Types: fix:, feat:, refactor:, docs:, chore:
Key Rules
- Never break prompt caching — don't change context, tools, or system prompt mid-conversation
- Message role alternation — never two assistant or two user messages in a row
- Use
get_hermes_home() from hermes_constants for all paths (profile-safe)
- Config values go in
config.yaml, secrets go in .env
- New tools need a
check_fn so they only appear when requirements are met
External Skill Directories (Wiring Repo Ecosystem Skills)
Hermes can scan external skill directories alongside ~/.hermes/skills/. This is how you connect a repo ecosystem's skill library (e.g. workspace-hub's .Codex/skills/) to Hermes.
Configuration
Add external_dirs under skills in ~/.hermes/config.yaml:
skills:
external_dirs:
- /mnt/local-analysis/workspace-hub/.Codex/skills
- ~/.agents/skills
- ${SKILLS_REPO}/skills
Behavior:
- Read-only — Hermes indexes external skills but never writes to them. New skills always go to
~/.hermes/skills/.
- Local precedence — if the same skill name exists locally and externally, the local version wins.
- Full integration — external skills appear in system prompt,
skills_list, skill_view, and as /skill-name slash commands.
- Non-existent paths silently skipped — safe for optional/conditional dirs.
Filtering Large Skill Libraries
External repos may have archived/internal directories with thousands of skills that would bloat the system prompt. The scan exclusion list is in agent/skill_utils.py:
EXCLUDED_SKILL_DIRS = frozenset((
".git", ".github", ".hub",
"_archive", "_internal", "_runtime", "_core",
"session-logs",
))
The default Hermes only excludes .git/.github/.hub. For workspace-hub's convention of _archive/ (2,166 archived skills) and _internal/, _runtime/, _core/ dirs, you must patch EXCLUDED_SKILL_DIRS.
Surviving hermes update
hermes update does git pull on the source repo, which overwrites local patches. To persist patches across updates:
-
Save the diff as a .patch file in your repo's harness patches dir:
cd ~/.hermes/hermes-agent
git diff agent/skill_utils.py > ~/workspace-hub/config/agents/hermes/patches/exclude-archive-skill-dirs.patch
-
The harness-update.sh script auto-applies all *.patch files after each update:
for pf in "$PATCH_DIR"/*.patch; do
git -C "$hermes_dir" apply --check "$pf" 2>/dev/null && \
git -C "$hermes_dir" apply "$pf"
done
-
If a patch fails to apply (upstream changed the code), the harness logs it and continues — check logs after updates.
Verification
After configuring, restart Hermes and check:
find /path/to/external/skills -name 'SKILL.md' \
-not -path '*/_archive/*' -not -path '*/_internal/*' \
-not -path '*/_runtime/*' -not -path '*/_core/*' \
-not -path '*/session-logs/*' | wc -l
Changes take effect on next session start (config loaded at startup).