Provides AI agents with persistent, local, and shareable project memory by storing decisions and code context in a searchable SQLite index, supporting keyword and semantic search via MCP.
Gives coding agents a local, SQLite-backed memory of a codebase, enabling them to query symbol impact, change history, and task scope through MCP while recording what actually changed after edits.
Provides a persistent, local-first memory for coding agents over MCP, enabling automatic recall and recording of past work, failures, and decisions to reduce repetition and token usage.
Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.
Provides a persistent project memory for AI assistants via MCP tools, enabling querying and teaching of concepts, decisions, and patterns stored in an SQLite database.