Adaptive Agent
Self-evolving RAG system providing cross-session persistent memory where agents autonomously write, retrieve, and evolve knowledge through vector-based storage and semantic search.
About
Provides a persistent memory system for AI agents with cross-session knowledge retention through vector-based storage and semantic search capabilities. Built on FastMCP with ripgrep integration for fast text search, the system automatically indexes and stores conversation memories, enabling agents to recall past interactions and build contextual understanding over time. Features session management, memory parsing, graph-based knowledge storage, and 14 retrieval tools including hybrid search (vector + full-text), knowledge graph extraction, scope isolation (project/app/global), and concurrent safety mechanisms.
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