agent-library vs mcp-raganything
agent-library: Agent Library provides AI agents with persistent storage for text, documents, and knowledge using SQLite with vector search (sqlite-vec) and full-text search (FTS5). It supports hybrid search combining semantic and keyword matching, configurable embedding models, and offers both CLI and MCP server interfaces for integration.; mcp-raganything: A multi-modal RAG service that exposes a REST API and MCP server for document indexing and knowledge-base querying. It uses RAGAnything/LightRAG for indexing and retrieval, MinIO for object storage, and PostgreSQL for the knowledge graph. Each project is isolated by its own working directory.
TL;DR
Storing and retrieving agent memories across conversations
Index and query documents for knowledge base Q&A
Side-by-Side Comparison
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