Progressive disclosure retrieval for long-horizon AI agents over personal knowledge bases. Three-tier model: hot cache → FTS5 index → full read. Local-first, zero dependencies.
-
Updated
Mar 10, 2026 - Python
Progressive disclosure retrieval for long-horizon AI agents over personal knowledge bases. Three-tier model: hot cache → FTS5 index → full read. Local-first, zero dependencies.
Self-hosted continuity and collaboration substrate for autonomous agents with bounded, recoverable memory and explicit restart orientation
Provide a fast, precise retrieval layer that connects AI agents with personal knowledge bases to enhance context understanding and reduce noise.
Add a description, image, and links to the long-horizon-agents topic page so that developers can more easily learn about it.
To associate your repository with the long-horizon-agents topic, visit your repo's landing page and select "manage topics."