Durable, inspectable memory for MCP agents. Preserves decisions, preferences, and project knowledge across sessions with full provenance and version history.
Enables coding agents to incrementally index project text and code, persist decisions and constraints with clear sources, and assemble focused project context across sessions via MCP.
Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
Enables AI agents to maintain and query project memory independently of the underlying model, with versioned, auditable storage and multi-stage retrieval through a single MCP gateway.
Enables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.