Local, cross-agent memory for AI coding agents using a single SQLite file, enabling persistent sessions and durable facts shared across multiple MCP-compatible tools.
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.
Provides a unified context system for AI coding agents with memory, knowledge graph, specs, and code graph subsystems, all stored in SQLite. Enables persistent recall of decisions, conventions, errors, project knowledge, and code structure.
Enables AI agents to record and query reasoning steps in SQLite, offloading trace data from the context window, with DAG support and persistent cross-session memory.