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.
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.
Persistent, local-first graph memory for AI coding agents. Provides durable cross-session memory via a local SQLite knowledge graph with typed relationships.
Enables AI agents to persist and retrieve structured thinking graphs using SQLite-backed memory with support for CRUD operations, graph search, and path finding.
Unified, zero-external-database multi-agent long-term memory hub with SQLite FTS5 BM25 search, knowledge graph, sleep cycle consolidation, and a web dashboard.
A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph — all in a local SQLite database.