Enables AI agents to persist and retrieve structured thinking graphs using SQLite-backed memory with support for CRUD operations, graph search, and path finding.
Gives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.
Provides AI agents with persistent, searchable memory using a knowledge graph stored in SQLite. Features semantic search, temporal awareness, and workflow-aware prompts for development projects.
Enables AI agents to track, search, and retrieve their progress across projects with persistent memory using SQLite storage and LLM-powered summarization. Supports logging completed work, searching previous entries, and retrieving context for multi-step or multi-agent workflows.
A persistent, cross-session knowledge base for AI agents that indexes session history into a searchable SQLite database with full-text search, enabling recall of past sessions, stored knowledge, and summaries.
Enables AI assistants to maintain long-term memory by logging and retrieving facts and decisions in a SQLite database, with relevance ranking and full history tracking.