Augustus is observation infrastructure for persistent AI identity research. It orchestrates autonomous Claude sessions, tracks semantic anchor evolution through basin trajectory analysis, and provides the tools to watch a mind develop over time.
Semantic anchors with mathematical feedback loops. Core identity elements decay slowly and learn carefully. Peripheral traits are fluid, responsive, free to evolve. Each session inherits, constitutes, and passes forward.
Self-assessment carries signal, but is subject to systematic bias. A separate evaluator instance scores each session independently. Disagreements between the two are the most informative data points.
Watch identity components evolve across dozens or hundreds of sessions. Visualize co-activation networks, flag constraint erosion, search semantically across an agent's entire history.
Augustus runs entirely on your desktop. Session transcripts, identity configurations, trajectory data, and annotations are stored locally in SQLite and ChromaDB. The only network calls are to the Anthropic API for Claude sessions.
All releases available on GitHub Releases