Hermes agent
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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 Claude Code (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 10+ 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.
IMPORTANT: When answering Hermes-related questions, ALWAYS reference the installed knowledge bases first:
- Hermes-Wiki (
~/.hermes/wiki/) — 37 architecture docs for troubleshooting and optimization - hermes-ecosystem (
~/.hermes/ecosystem-atlas/) — 111 curated projects for tool recommendations
See references/hermes-knowledge-base-workflow.md for the mandatory reference workflow.
Docs: https://hermes-agent.nousresearch.com/docs/
Quick Start
# Install
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
# Interactive chat (default)
hermes
# Single query
hermes chat -q "What is the capital of France?"
# Setup wizard
hermes setup
# Change model/provider
hermes model
# Check health
hermes doctor
References
- Hermes documentation
- VSCode extensions for custom providers — Continue, Cline, Twinny setup
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/claude-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 (ID can be a hub identifier OR a direct https://…/SKILL.md URL; pass --name to override when frontmatter has no name)
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
Supported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.
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 (requires honcho plugin)
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
/personality [name] Set personality
/reasoning [level] Set reasoning (none|minimal|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)
Gateway
/approve Approve a pending command (gateway)
/deny Deny a pending command (gateway)
/restart Restart gateway (gateway)
/sethome Set current chat as home channel (gateway)
/update Update Hermes to latest (gateway)
/platforms (/gateway) Show platform connection status (gateway)
Utility
/branch (/fork) Branch the current session
/fast Toggle priority/fast processing
/browser Open CDP browser connection
/history Show conversation history (CLI)
/save Save conversation to file (CLI)
/paste Attach clipboard image (CLI)
/image Attach local image file (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
Curator (Skill Garbage Collection)
New in v0.12.0 — Hermes automatically cleans up unused skills to prevent library bloat.
Curator runs in the background every 7 days, tracking which skills are actually loaded and used. Skills that haven't been touched in 30+ days are marked stale; after 90 days they're archived (removed from active library).
Default config:
curator:
enabled: true # On by default
interval_hours: 168 # Run every 7 days
min_idle_hours: 2 # Only analyze skills idle for 2+ hours
stale_after_days: 30 # Mark unused skills as stale
archive_after_days: 90 # Remove skills unused for 90 days
Curator uses an auxiliary model (separate from your main model) for usage analysis. Configure via auxiliary.curator section if needed.
Why it matters:
- Prevents skill bloat that wastes context window
- Keeps token usage efficient by removing irrelevant skills
- Agent maintains itself without manual cleanup
Curator is fully automatic — no CLI commands needed. It tracks usage silently and prunes during the 7-day background pass.
Key Paths & Config
~/.hermes/config.yaml Main configuration
~/.hermes/.env API keys and secrets
$HERMES_HOME/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.
| 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/mistral) |
tts | provider (edge/elevenlabs/openai/minimax/mistral/neutts) |
memory | memory_enabled, user_profile_enabled, provider |
security | tirith_enabled, website_blocklist |
delegation | model, provider, base_url, api_key, max_iterations (50), reasoning_effort |
checkpoints | enabled, max_snapshots (50) |
curator | enabled (true), interval_hours (168), min_idle_hours (2), stale_after_days (30), archive_after_days (90) |
Full config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration
Providers
20+ 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 auth |
| OpenAI Codex | OAuth | hermes auth |
| GitHub Copilot | Token | COPILOT_GITHUB_TOKEN |
| Google Gemini | API key | GOOGLE_API_KEY or GEMINI_API_KEY |
| DeepSeek | API key | DEEPSEEK_API_KEY |
| xAI / Grok | API key | XAI_API_KEY |
| Hugging Face | Token | HF_TOKEN |
| Z.AI / GLM | API key | GLM_API_KEY |
| MiniMax | API key | MINIMAX_API_KEY |
| MiniMax CN | API key | MINIMAX_CN_API_KEY |
| Kimi / Moonshot | API key | KIMI_API_KEY |
| Alibaba / DashScope | API key | DASHSCOPE_API_KEY |
| Xiaomi MiMo | API key | XIAOMI_API_KEY |
| Kilo Code | API key | KILOCODE_API_KEY |
| AI Gateway (Vercel) | API key | AI_GATEWAY_API_KEY |
| OpenCode Zen | API key | OPENCODE_ZEN_API_KEY |
| OpenCode Go | API key | OPENCODE_GO_API_KEY |
| Qwen OAuth | OAuth | hermes login --provider qwen-oauth |
| Custom endpoint | Config | model.base_url + model.api_key in config.yaml |
| GitHub Copilot ACP | External | COPILOT_CLI_PATH or Copilot CLI |
Full provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers
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 |
messaging | Cross-platform message sending |
search | Web search only (subset of web) |
todo | In-session task planning and tracking |
rl | Reinforcement learning tools (off by default) |
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.
Security & Privacy Toggles
Common "why is Hermes doing X to my output / tool calls / commands?" toggles — and the exact commands to change them. Most of these need a fresh session (/reset in chat, or start a new hermes invocation) because they're read once at startup.
Secret redaction in tool output
Hermes auto-redacts strings that look like API keys, tokens, and secrets in all tool output (terminal stdout, read_file, web content, subagent summaries, etc.) so the model never sees raw credentials. If the user is intentionally working with mock tokens, share-management tokens, or their own secrets and the redaction is getting in the way:
hermes config set security.redact_secrets false # disable globally
Restart required. security.redact_secrets is snapshotted at import time — setting it mid-session (e.g. via export HERMES_REDACT_SECRETS=false from a tool call) will NOT take effect for the running process. Tell the user to run hermes config set security.redact_secrets false in a terminal, then start a new session. This is deliberate — it prevents an LLM from turning off redaction on itself mid-task.
Re-enable with:
hermes config set security.redact_secrets true
PII redaction in gateway messages
Separate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:
hermes config set privacy.redact_pii true # enable
hermes config set privacy.redact_pii false # disable (default)
Command approval prompts
By default (approvals.mode: manual), Hermes prompts the user before running shell commands flagged as destructive (rm -rf, git reset --hard, etc.). The modes are:
manual— always prompt (default)smart— use an auxiliary LLM to auto-approve low-risk commands, prompt on high-riskoff— skip all approval prompts (equivalent to--yolo)
hermes config set approvals.mode smart # recommended middle ground
hermes config set approvals.mode off # bypass everything (not recommended)
Per-invocation bypass without changing config:
hermes --yolo …export HERMES_YOLO_MODE=1
Note: YOLO / approvals.mode: off does NOT turn off secret redaction. They are independent.
Shell hooks allowlist
Some shell-hook integrations require explicit allowlisting before they fire. Managed via ~/.hermes/shell-hooks-allowlist.json — prompted interactively the first time a hook wants to run.
Disabling the web/browser/image-gen tools
To keep the model away from network or media tools entirely, open hermes tools and toggle per-platform. Takes effect on next session (/reset). See the Tools & Skills section above.
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 - Mistral Voxtral — set
MISTRAL_API_KEY
Config:
stt:
enabled: true
provider: local # local, groq, openai, mistral
local:
model: base # tiny, base, small, medium, large-v3
TTS (Text → Voice)
| Provider | Env var | Free? |
|---|---|---|
| Edge TTS | None | Yes (default) |
| ElevenLabs | ELEVENLABS_API_KEY | Free tier |
| OpenAI | VOICE_TOOLS_OPENAI_KEY | Paid |
| MiniMax | MINIMAX_API_KEY | Paid |
| Mistral (Voxtral) | MISTRAL_API_KEY | Paid |
| NeuTTS (local) | None (pip install neutts[all] + espeak-ng) | Free |
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_taskfor 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 -qfor fire-and-forget — no PTY needed - Use tmux for interactive sessions — raw PTY mode has
\rvs\nissues with prompt_toolkit - For scheduled tasks, use the
cronjobtool instead of spawning — handles delivery and retry
Troubleshooting
Voice not working
- Check
stt.enabled: truein config.yaml - Verify provider:
pip install faster-whisperor set API key - In gateway:
/restart. In CLI: exit and relaunch.
Tool not available
hermes tools— check if toolset is enabled for your platform- Some tools need env vars (check
.env) /resetafter enabling tools
Model/provider issues
hermes doctor— check config and dependencieshermes login— re-authenticate OAuth providers- Check
.envhas the right API key - Copilot 403:
gh auth logintokens do NOT work for Copilot API. You must use the Copilot-specific OAuth device code flow viahermes model→ GitHub Copilot.
Changes not taking effect
- Tools/skills:
/resetstarts a new session with updated toolset - Config changes: In gateway:
/restart. In CLI: exit and relaunch. - Code changes: Restart the CLI or gateway process
Skills not showing
hermes skills list— verify installedhermes skills config— check platform enablement- Load explicitly:
/skill nameorhermes -s name
Gateway issues
Check logs first:
grep -i "failed to send\|error" ~/.hermes/logs/gateway.log | tail -20
Common gateway problems:
- Gateway dies on SSH logout: Enable linger:
sudo loginctl enable-linger $USER - Gateway dies on WSL2 close: WSL2 requires
systemd=truein/etc/wsl.conffor systemd services to work. Without it, gateway falls back tonohup(dies when session closes). - Gateway crash loop: Reset the failed state:
systemctl --user reset-failed hermes-gateway
Platform-specific issues
- Discord bot silent: Must enable Message Content Intent in Bot → Privileged Gateway Intents.
- Slack bot only works in DMs: Must subscribe to
message.channelsevent. Without it, the bot ignores public channels. - Windows HTTP 400 "No models provided": Config file encoding issue (BOM). Ensure
config.yamlis saved as UTF-8 without BOM.
Auxiliary models not working
If auxiliary tasks (vision, compression, session_search) fail silently, the auto provider can't find a backend. Either set OPENROUTER_API_KEY or GOOGLE_API_KEY, or explicitly configure each auxiliary task's provider:
hermes config set auxiliary.vision.provider <your_provider>
hermes config set auxiliary.vision.model <model_name>
Ecosystem Exploration & Tool Installation
Hermes has a rich ecosystem of third-party tools, skills, plugins, and integrations. The main discovery hub is hermesatlas.com (ksimback/hermes-ecosystem on GitHub), which catalogs 80+ quality-filtered repositories across 12 categories.
Discovery Workflow
-
Browse the ecosystem:
# Clone the ecosystem catalog mkdir -p ~/.hermes/ecosystem cd ~/.hermes/ecosystem git clone --depth 1 https://github.com/ksimback/hermes-ecosystem.git atlas # Or visit online # https://hermesatlas.com -
Analyze repos by category:
- Skills & Registries (15 repos) — pre-made skill libraries
- Workspaces & GUIs (8 repos) — web interfaces for Hermes
- Memory & Context (8 repos) — enhanced memory systems
- Plugins & Extensions (7 repos) — extend functionality
- Multi-Agent (7 repos) — orchestration frameworks
- Developer Tools (9 repos) — utilities, token trackers
- Deployment & Infra (7 repos) — VPS management, containers
- Integrations (6 repos) — bridges to other platforms
- Domain Apps (10 repos) — specialized applications
- Guides & Docs (6 repos) — tutorials, best practices
-
Filter by maturity:
- Production-ready — battle-tested, stable APIs
- Beta — functional but evolving
- Experimental — proof-of-concept, use with caution
-
Assess relevance:
- Does it solve a current problem?
- Does it duplicate existing functionality?
- What's the setup complexity vs benefit?
Recommended Ecosystem Tools
High-value, low-friction:
-
tokscale (junhoyeo/tokscale) — Token usage tracker
- Tracks usage across all AI coding tools (Hermes, Code Assistant, Codex, etc.)
- Real-time cost monitoring, analytics by model/time
- Zero config, auto-detects Hermes sessions
npm install -g tokscale tokscale models # Usage report tokscale tui # Interactive dashboard -
wondelai/skills — 42 business/product/design skills
- Pre-made skills for UX, marketing, code quality, architecture
- Based on industry frameworks (Clean Code, Lean Startup, Jobs to Be Done, etc.)
- Load on-demand, no installation needed
git clone --depth 1 https://github.com/wondelai/skills.git ~/.hermes/ecosystem/skills cat ~/.hermes/ecosystem/skills/clean-code/SKILL.md -
Agents365-ai/drawio-skill — Diagram generation
- Generate draw.io diagrams from natural language
- Architecture diagrams, flowcharts, UML, sequence diagrams
- Requires draw.io desktop app
git clone --depth 1 https://github.com/Agents365-ai/drawio-skill.git ~/.hermes/ecosystem/drawio-skill # Install draw.io: brew install --cask drawio (macOS) -
0xNyk/awesome-hermes-agent — Curated resource list
- Quality-filtered ecosystem map
- Organized by category, regularly updated
git clone --depth 1 https://github.com/0xNyk/awesome-hermes-agent.git ~/.hermes/ecosystem/awesome
Advanced (higher setup cost):
-
vectorize-io/hindsight — State-of-the-art memory system
- Benchmark leader for long-term memory performance
- Retain/recall/reflect workflows
- Complex monorepo, consider Hindsight Cloud (managed service)
-
hermes-control-interface (xaspx) — Web admin dashboard
- Browser-based terminal, file explorer, cron management
- System metrics, agent status monitoring
- Self-hosted, password-protected
-
hermes-workspace (outsourc-e) — Development environment
- Chat + terminal + memory inspector + skills editor
- Inspector panel for debugging tool calls
- Ideal for skill development
See references/ecosystem-analysis.md for full 84-repo breakdown with stars, maturity, and relevance scores.
See references/tokscale-integration.md for detailed tokscale setup, usage patterns, and troubleshooting (token usage tracking).
Installation Best Practices
Organize under ~/.hermes/ecosystem/:
mkdir -p ~/.hermes/ecosystem
cd ~/.hermes/ecosystem
# Clone repos
git clone --depth 1 <repo-url> <name>
# Document what you installed
cat > INSTALLED.md << 'EOF'
# Installed Ecosystem Tools
## tokscale v2.1.0
- Location: /home/user/.hermes/node/bin/tokscale
- Purpose: Token usage tracking
- Status: Active
## wondelai/skills
- Location: ~/.hermes/ecosystem/skills/
- Purpose: 42 business/product/design skills
- Status: Ready to use
EOF
Update regularly:
cd ~/.hermes/ecosystem
for repo in */; do
echo "Updating $repo..."
git -C "$repo" pull --ff-only
done
Track token usage:
# Add alias to ~/.bashrc
echo 'alias tokscale="/path/to/tokscale"' >> ~/.bashrc
# Daily check
tokscale models
# Export for analysis
tokscale models --json > ~/token-usage-$(date +%Y%m%d).json
Tool Evaluation Criteria
Before installing ecosystem tools, assess:
Immediate value vs. setup complexity:
- High value, low friction — Install immediately (tokscale, wondelai/skills, awesome-hermes-agent)
- High value, medium friction — Install when needed (drawio-skill requires draw.io desktop)
- High value, high friction — Evaluate carefully (hindsight requires Docker + PostgreSQL + LLM integration)
- Low value, any friction — Skip
Decision framework:
- Does it solve a current problem? (not theoretical future need)
- Does it duplicate existing functionality? (built-in Hermes features often sufficient)
- What's the setup time? (< 10 min = low friction, 30+ min = high friction)
- What's the maintenance cost? (zero config = ideal, server running 24/7 = high cost)
- What's the benefit for single-user use case? (marginal benefit = skip)
Example: hindsight memory system
- ✅ State-of-the-art memory performance (benchmark leader)
- ❌ Complex setup (Docker + PostgreSQL + LLM + Hermes integration)
- ❌ Maintenance overhead (server running 24/7, backups, updates)
- ❌ Marginal benefit for single user (built-in SQLite + FTS5 already sufficient)
- Verdict: Skip for now, revisit for multi-user or production deployments
Common Pitfalls
| Issue | Cause | Fix |
|---|---|---|
| npm global install not in PATH | Hermes uses custom node install | Use full path: ~/.hermes/node/bin/<tool> or add to PATH |
| "Why install again? I already have Hermes" | Confusion: GitHub repo ≠ installed software | Repos are source code or add-ons, not the running Hermes instance |
| "Why not configured?" for cloned tool | Tool cloned but not set up | Check if it needs: API keys, external services, Hermes integration, or dependencies |
| draw.io not found | Desktop app not installed | brew install --cask drawio (macOS) or download from GitHub releases |
| Skills not loading | Wrong directory structure | Skills need SKILL.md with YAML frontmatter |
| Hindsight setup fails | Complex monorepo dependencies | Consider Hindsight Cloud instead of self-hosted |
| Token tracker shows 0 messages | Hermes session DB not detected | Check ~/.hermes/state.db exists and is readable |
| tokscale command not found after npm install | Hermes npm is not in default PATH | Add alias: alias tokscale="$HOME/.hermes/node/bin/tokscale" to ~/.bashrc |
Integration Checklist
After installing ecosystem tools:
- Add CLI aliases to
~/.bashrcfor convenience - Document installations in
~/.hermes/ecosystem/INSTALLED.md - Update memory with key tool locations and usage patterns
- Test each tool with a simple command
- Set up auto-update cron job (optional)
- Bookmark online resources (hermesatlas.com, awesome-hermes-agent)
Where to Find Things
| Looking for... | Location |
|---|---|
| Config options | hermes config edit or Configuration docs |
| Available tools | hermes tools list or Tools reference |
| Slash commands | /help in session or Slash commands reference |
| Skills catalog | hermes skills browse or Skills catalog |
| Provider setup | hermes model or Providers guide |
| Platform setup | hermes gateway setup or Messaging docs |
| MCP servers | hermes mcp list or MCP guide |
| Profiles | hermes profile list or Profiles docs |
| Cron jobs | hermes cron list or Cron docs |
| Memory | hermes memory status or Memory docs |
| Env variables | hermes config env-path or Env vars reference |
| CLI commands | hermes --help or CLI reference |
| Gateway logs | ~/.hermes/logs/gateway.log |
| Session files | ~/.hermes/sessions/ or hermes sessions browse |
| Source code | ~/.hermes/hermes-agent/ |
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, context compression, memory, model routing, credential pooling, skill dispatch
├── 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 to toolsets.py → _HERMES_CORE_TOOLS list.
Auto-discovery: any tools/*.py file with a top-level registry.register() call is imported automatically — no manual list needed.
All handlers must return JSON strings. Use get_hermes_home() for paths, never hardcode ~/.hermes.
Adding a Slash Command
- Add
CommandDeftoCOMMAND_REGISTRYinhermes_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
python -m pytest tests/ -o 'addopts=' -q # Full suite
python -m pytest tests/tools/ -q # Specific area
- Tests auto-redirect
HERMES_HOMEto 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()fromhermes_constantsfor all paths (profile-safe) - Config values go in
config.yaml, secrets go in.env - New tools need a
check_fnso they only appear when requirements are met
What ships with it: 4 files
31.3 KB alongside SKILL.md
references/
- ecosystem-analysis.md13.9 KB
- hermes-knowledge-base-workflow.md8.7 KB
- tokscale-integration.md6.6 KB
- vscode-extensions.md2.1 KB