Provides persistent memory for AI coding agents via MCP, enabling agents to store and semantically recall facts, events, and lessons across sessions, all running locally without cloud dependencies.
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.
Enables AI coding agents to maintain a private, local-first persistent memory by automatically saving, searching, and retrieving structured project memories through MCP, with hybrid keyword and embedding search, feedback-driven ranking, and no cloud dependency.
Persistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.
