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 persistent, local memory layer for AI coding agents that remembers decisions, bugs, and rules across sessions with three core MCP verbs (recall, remember, search).
Local-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.
Persistent memory for AI coding agents that stores and recalls preferences, decisions, and conventions via semantic similarity, with zero cloud dependencies and plug-and-play MCP integration for Claude Code.
Local-first hierarchical memory for AI coding agents, providing automatic session capture, belief consolidation, and relevant memory injection via an MCP server.