activegraph
Event-sourced Python graph runtime where agent behaviors react to a shared graph, with an audit trail and fork-and-diff replay.
Harness by yoheinakajima
Chalk Labs
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install activegraph
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About
Use cases: agent-orchestration, monitoring-observability
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Languages
- PythonREADME
- Packages
- activegraph (pypi)README
- Orchestration
- event-drivenREADME
- Observability
- OpenTelemetry, PrometheusREADME
- Model providers
- anthropic, openaiREADME
- Maturity
- Stablegithub.com
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
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Signals
- Stars
- 707
- Forks
- 66
- Open issues
- 6
- Weekly downloads
- 603
- Last commit
- Sep 26, 2026 (1 month ago)
- Last release
- Sep 26, 2026 (1 month ago)
- Last package publish
- Sep 26, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
activegraph - License
- Apache-2.0
- Repository
- github.com/yoheinakajima/activegraph
- Website
- activegraph.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEgithub-graphql
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
activegraph. Agent Mart. https://agentmart.dev/harnesses/activegraph (last updated 2026-10-24)