Open Source
AgentTrace
Observability for multi-agent systems, including behavioral drift detection.
Once a system has several agents calling each other, working out why it produced a given answer becomes guesswork. AgentTrace records every step, decision, tool call, and cost across a run, and presents them as a single trace you can read.
It is open source, self-hosted, published on PyPI as agenttrace, and requires no configuration to start collecting.
What it tracks
- Full trace visibility across every step and decision in a run.
- Behavioral drift detection, which flags when an agent starts behaving differently from its established pattern.
- Cost tracking per run and per agent.
- Latency profiling on a Gantt-style timeline, so the slow leg of a run is obvious.
Frameworks supported
LangChain, LangGraph, CrewAI, AutoGen, Ollama, the OpenAI Agents SDK, and custom agents.
Deployment
Self-hosted with zero configuration required to begin. Traces stay on infrastructure you control, which matters when the traces contain the prompts and documents the agents were working on.
Stack
- SDK
- PythonPyPI
- Backend
- Node.jsTypeScript
- Dashboard
- React
- Integrations
- LangChainLangGraphCrewAIAutoGenOllamaOpenAI Agents SDK