journeygraph is a Python library that provides local-first graph analytics specifically designed for AI agent traces, OpenTelemetry data, and event sequences. It enables path mining, journey analysis, and observability for LLM-based agents without sending data to external services. Ideal for developers building and debugging autonomous AI systems who need powerful graph-based insights on their own machines.
journeygraph is a LLM eval & observability product. It focuses on analyzing complex AI agent traces and event sequences without relying on cloud services. It is built as an open-source project for AI developers. journeygraph is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.
Behind journeygraph is German Gerken, and the product first shipped in 2026. Development happens publicly on GitHub with 19 commits in the last 90 days. Key capabilities include Graph Analytics, Trace Analysis, and Path Mining. It exposes integrations via a public API.
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