Personal unified memory system for AI coding agents, providing persistent memory with hybrid RAG retrieval via MCP integration, allowing agents to store, search, and manage memories locally.
A local-first memory layer for coding agents to persist and retrieve project decisions, architecture context, and rules across multiple development sessions. It utilizes a three-tier memory model and hybrid retrieval to provide agents with durable, searchable context and a WebUI for human review.
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.
A local-first MCP server that manages developer memory for coding agents, enabling shared project context, permissions, and audit trails across different agents.