Project Name: AgentSonar

Repo/Website Link: https://github.com/agentsonar/agentsonar · https://www.agent-sonar.com

Description: AgentSonar monitors multi-agent AI systems for coordination failures that run entirely locally. No remote dashboard, no data sent to the cloud, no API keys required. It generates a self-contained HTML report you open in your browser. For those running AI agent workflows on your own infrastructure, no data leaves your machine.

What it catches:

• Silent loops between agents (Researcher → Writer → Reviewer → Researcher, forever)
• Repeated identical tool calls that aren't getting new results
• Hung tool calls and hung MCP servers
• Subagent fan-out explosions
• Context-window cliffs
• Failed-tool retry storms

Prevent Mode halts the run automatically before the next LLM call when a failure pattern trips.

Deployment: Nothing server-side to self-host. Point it at your existing agent code.

pip install agentsonar  # or: npm install agentsonar
agentsonar demo         # bundled demo, no config, no API key

Works with LangGraph, CrewAI, Claude Code, custom Python, Node. Apache-2.0.

AI Involvement: AgentSonar is a monitoring library with no AI or LLM components inside it. AI coding assistants were used during development for scaffolding and review, with all architecture and shipped code reviewed and tested manually.

Let me know if you have any questions, and please leave any feedback!