Provides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.
Enables AI coding agents to store and search team and personal know-how as small entries across local SQLite and hosted Postgres stores, with federated search and writes to the chosen store so new sessions build on prior knowledge.
Enables AI coding agents to persist and retrieve durable project knowledge across coding sessions, capturing decisions, conventions, lessons and reusable skills through ordinary chat requests. It supports searching, editing and reviewing saved items, and promoting local notes into Git-shareable versioned knowledge alongside repository changes.
Enables AI coding agents to share a persistent, local-first memory of architectural decisions, conventions, bug root causes, and session handoffs, searchable via full-text ranking, so context carries across tools and sessions without any cloud dependency.
Enables engineering agents to maintain persistent knowledge across sessions by storing decisions, invariants, gotchas, and rejected ideas, with staleness detection, conflict detection, full-text search, and structured context assembly.