journeygraph
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 22 Jul 2026. How this is checked
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.
Inferred · not functionally tested
Overview
5 featuresPurpose: Analyzing complex AI agent traces and event sequences without relying on cloud services.
Inferred · not functionally tested
Audience: AI developers
Inferred · not functionally tested
Functions: analytics, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
journeygraph is an Agent monitoring & governance project. Inferred · not functionally tested: It focuses on analyzing complex AI agent traces and event sequences without relying on cloud services. Inferred · not functionally tested: It is built as an open-source project for AI developers. Basis unknown · not verified: journeygraph is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
German Gerken builds and maintains journeygraph, and it first shipped in 2026. The project is developed in the open on GitHub with 19 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are Graph Analytics, Trace Analysis, and Path Mining. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Graph Analytics
- Trace Analysis
- Path Mining
- LLM Observability
- Local-first
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed22 Jul · 15:12 UTCjourneygraph seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about journeygraph
- What does journeygraph do?
- Inferred · not functionally tested: Journeygraph focuses on analyzing complex AI agent traces and event sequences without relying on cloud services. It is catalogued under Agent monitoring & governance on PulseGate.
- Who is journeygraph for?
- Inferred · not functionally tested: journeygraph is an open-source project built for AI developers.
- Does journeygraph have a free plan?
- Basis unknown · not verified: Yes — journeygraph is open source under the Apache-2.0 license and free to use.
- What platforms does journeygraph run on?
- Basis unknown · not verified: journeygraph runs on the command line. It can also be self-hosted.
- Is journeygraph still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 19 commits in the last 90 days.
- Who makes journeygraph?
- journeygraph is developed by German Gerken.
- How long has journeygraph been around?
- journeygraph first shipped in 2026.
- Is journeygraph open source?
- Basis unknown · not verified: Yes — journeygraph is open source under the Apache-2.0 license, developed on GitHub.
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