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Self-Hosted & Cloud

One command.
Full visibility.

Install ClawMetry locally for free, or connect a fleet of machines to ClawMetry Cloud. E2E encrypted, one dashboard for everything.

Get started free See it in action

The one minute version

Press play for the quick tour, or skip it and read the full walkthrough below. Same story, either way.

Which version is right for you?

ClawMetry
OSS / Self-Hosted
Free & open source
  • ✓ Free, forever
  • ✓ Open source on GitHub
  • ✓ Runs entirely local. One machine.
  • ✓ Your data stays on your machine
  • ✓ No account required
  • – Single node only
  • – No remote access

Paid self-hosted licenses unlock all runtimes and paid features locally. See pricing.

Get started free
LIVE
☁️
ClawMetry Cloud
Managed fleet
  • ✓ Managed & always on
  • ✓ End-to-end encrypted
  • ✓ Multi-node fleet (10+ machines)
  • ✓ Access dashboard from anywhere
  • ✓ Team access & sharing
  • ✓ Session content unreadable to us
  • ✓ One view for all nodes
Get Started

No proxy. No code changes.

ClawMetry reads the session files and logs your agent runtimes already write - OpenClaw, Claude Code, Codex, Cursor + 29 more runtimes. Nothing sits between your agents and the models.

🤖
Your AI agents
OpenClaw, Claude Code, Codex
+ 30 more. Nothing changes.
reads files
ClawMetry
ClawMetry
Parses logs + sessions.
Serves dashboard.
shows you
📊
Your browser
localhost:8900
Live dashboard
Runs locally on the same machine as your agents. Your data lives in a local database on that machine.

33 runtimes. One dashboard.

ClawMetry auto-detects every supported runtime on your machine and shows them side by side - same tabs, same live feed, same cost attribution. No SDK, no code changes.

OpenClaw Claude Code Cursor GitHub Copilot Codex Gemini CLI Muse Code Lovable Cline OpenHands OpenWorker OpenExecutive OpenCode NVIDIA NemoClaw Aider Goose n8n Qwen Code Devin Antigravity Grok Build Grok Bot Hermes Pi Deep Agents Kimi CLI DeepSeek Harness Exo NanoClaw PicoClaw QM Replit Agent OpenDots

OpenClaw, NVIDIA NemoClaw, Goose and Qwen Code are free on every plan.

X-ray vision into your agent's runtime

See exactly what happens at every layer - from incoming messages to LLM calls to tool execution. Gateway runtimes like OpenClaw map to all three layers; CLI runtimes like Claude Code and Codex are observed at the runtime layer, straight from their session files.

Layer 1: Connectors
📲
Telegram
3 groups, 1 DM
💬
WhatsApp
1 group
🎮
Discord
2 channels
⌨️
CLI
main session
🔌
<plugin>
routes messages
Layer 2: Gateway Controller
Main
TG:group1
TG:group2
WA:chat
DC:chan1
Heartbeat
Each channel/group gets its own isolated session with full transcript
Cron Manager
Memory Mgmt
Session DB
builds context + calls LLM
Layer 3: Agent Runtime
Environment
Claude Code
GCP
exe.dev
Providers
Opus 4.6
GPT 5.4
Sonnet 4.6
Tools
web_search
read_file
exec
Skills
weather
gh-issues
tmux
Brain Tab
Channel + Skill Badges
Every event tagged with which channel it came from and which skill triggered it. Filter by Telegram, WhatsApp, Discord, or CLI. Click any turn to see the full execution trace.
Context Tab
LLM Context Inspector
See exactly what context the LLM receives: system prompt breakdown, bootstrap files (SOUL.md, AGENTS.md), tool schemas, conversation history, and compaction events.
Skills Tab
Skills File Browser
IDE-like explorer for all installed skills. Click any skill to browse SKILL.md, scripts, and references. See fidelity stats: which skills are actually being used vs dead weight.
Per-Turn Execution Timeline
18:12:50 USER Telegram "deploy to prod"
5 steps 2 LLM 2 tools 5.6s
18:12:52 EXEC git status
18:12:52 READ deploy.sh
18:12:53 THINK Checking deployment config...
18:12:55 AGENT Deployed successfully to prod
LLM Context Composition
What the model actually sees each turn
## Tooling
3.0K
## Skills headers
1.5K
Bootstrap: SOUL.md
750
Bootstrap: MEMORY.md
1.0K
Tool schemas (JSON)
7.0K
Conversation history
38.5K
Total: 51.7K / 200K tokens (26%) Compaction threshold: ~160K
ClawMetry Cloud

One fleet, whatever it runs on

Mac Minis under a desk, EC2 and GCP instances, a container on an Ubuntu box. If your agent runs there, a node runs there. Each node end-to-end encrypts your agents' conversations and activity before sending; our servers keep no copy of the key, so the cloud stores that content as ciphertext it cannot read. Operational metadata like cost, model names and health syncs in readable form, and you see every machine in one dashboard, wherever you are.

☁️ AWS EC2 Claude Code 🔒
☁️ GCP VM Codex 🔒
🖥️ Mac Mini OpenClaw 🔒
📦 Docker NemoClaw 🔒
💻 Ubuntu server Hermes 🔒
… Pi, VPS, laptop any runtime 🔒
E2E encrypted
☁️
ClawMetry Cloud
Content sealed
metadata readable
anywhere
🌐
Your dashboard
Any browser,
anywhere
🔐
E2E Encrypted
Data is encrypted on the node before it leaves the machine, whatever that machine is
🚫
Content we cannot read
ClawMetry Cloud stores session content as ciphertext. Operational metadata such as cost and model names stays readable.
🗺️
Any node, one view
Every node in one dashboard, whatever it runs on. Switch between them instantly.

Running in under a minute

Two commands. That's it.

terminal
1

Install with pip

Works wherever Python 3.8+ is installed. Same machine as your agents.

2

Run clawmetry

Auto-discovers the AI agent runtimes on your machine. Opens the dashboard at localhost:8900.

3

That's it

No account. No API key. No config file. Open your browser and start watching.

Everything in one dashboard

Six tabs. Each one answers a different question about what your agents are doing.

🤖

Main Agent

Live feed of every tool call your agents make - across OpenClaw, Claude Code, Codex and every other runtime. Name, what it did, how long it took, updated in real time.

Live
🔀

Sub Agents

7-day history of every sub-agent run. See what task it was given, when it started, when it finished, and what it did along the way.

7-day history
💰

Token flow

Real-time token usage broken down by model and session. Know exactly which sessions are burning through your budget.

Live
⏰

Cron jobs

Every scheduled task in your agent setup - last run time, status, and run history. Catch a missed cron before it matters.

Live
🩺

System health

Service status for your agent gateway and connected components at a glance.

Live
📜

Session history

Browse past sessions with a full timeline of what happened - tool calls, costs, duration. Useful for debugging anything that went wrong.

Searchable

Reads each runtime's own files

ClawMetry doesn't intercept traffic or modify your setup. Every runtime already writes its activity to disk - OpenClaw its workspace, Claude Code and Codex their session transcripts, Cursor its local state. ClawMetry reads those native files and presents them as one live dashboard.

This means zero overhead on your agents and zero risk of ClawMetry breaking anything.

📁
Session transcripts Every tool call, model response, and agent turn, timestamped - parsed from each runtime's native format
⏰
Cron job registry Scheduled tasks, run history, and last-fired timestamps
🧠
Workspace files Memory files, SOUL.md, AGENTS.md - whatever your agent reads and writes
🔌
Gateway status OpenClaw gateway health, active sessions, connected channels
~/.openclaw/workspace
📁 sessions/ ← session transcripts
📁 memory/ ← memory files
📄 MEMORY.md ← long-term memory
📄 SOUL.md ← agent persona
📄 HEARTBEAT.md

~/.openclaw/cron
📄 jobs.json ← cron jobs

~/.openclaw/agents
📁 main/ ← main agent sessions
📁 sub-*/ ← sub-agent runs

Other runtimes (auto-detected)
📁 ~/.claude/projects/ ← Claude Code
📁 ~/.codex/sessions/ ← Codex
📄 …/Cursor/…/state.vscdb ← Cursor
📄 + 21 more runtimes

ClawMetry reads these. Your agents keep writing them. Nothing changes.

See what your agents are actually doing

Free, open source, and running in under a minute. No account required.

pip install clawmetry

Stay in the loop

Get notified about new features, alerting integrations, the Mac app, and everything else coming to ClawMetry.