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vivekchandReal-time observability for AI agents
Top 76.6% on SourcePulse
ClawMetry provides real-time observability for AI agents, primarily within the OpenClaw ecosystem. It offers a zero-configuration, auto-detecting dashboard visualizing agent thought processes, message flows, resource usage, and session histories, aiding developers in debugging and monitoring.
How It Works
Using a Flask backend and React frontend, ClawMetry generates a live, animated "Flow" diagram of agent interactions. It automatically discovers agent runtimes, logs, and sessions, consolidating data. Key advantages include comprehensive real-time visualization, broad compatibility with diverse AI agent frameworks via adapters, and seamless OpenTelemetry integration for vendor-neutral trace management.
Quick Start & Requirements
pip install clawmetry then run clawmetry. A bash script and Docker are also available.http://localhost:8900.Highlighted Details
Maintenance & Community
Developed by @vivekchand within the OpenClaw ecosystem. Specific community channels or detailed maintenance status are not detailed in the README.
Licensing & Compatibility
MIT License permits commercial use and integration into closed-source projects.
Limitations & Caveats
Some runtime adapters are "Beta." Token cost visibility depends on the agent's logging. NemoClaw integration requires careful configuration, potentially involving host-side sync daemons or sandbox network policies.
18 hours ago
Inactive
omnara-ai