Enables AI agents to query project memory by linking code changes to the conversations that produced them, allowing retrieval of past decisions and constraints directly from the codebase.
A memory system for AI coding tools that stores and retrieves codebase context with project isolation. Enables coding assistants to maintain searchable memory of code snippets, comments, and runtime traces with full source traceability.
Provides persistent, anchored memory for AI coding agents, binding every decision to specific lines of code and delivering relevant context just-in-time via the Model Context Protocol.
Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.