yoheinakajima/activegraph
ActiveGraph is an event-sourced graph framework that manages structured data and autonomous agent workflows through a pluggable, modular architecture. It provides a CLI and runtime environment for defining behaviors, executing LLM-driven tasks, and managing state across in-memory, SQLite, PostgreSQL, or FalkorDB backends. The system supports reproducible trials, structured observability, and comprehensive auditing of causal chains and tool interactions.
59.6
Adequate · 31 July 2026
30k
lines of production code
Python
primary language
1
bus factor · 3 authors in all
4
measurements over time
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 31 July 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit 148e12c296 — the exact code this score is about.
- Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.