knowledge-rag vs ClawMem
knowledge-rag: Knowledge RAG is a fully local, zero-cloud document retrieval system that lets Claude Code search your PDFs, markdown, code, and notebooks natively. It indexes up to 1800+ files in under 3 minutes, using hybrid search (BM25 + semantic vectors + cross-encoder reranking) via 12 MCP tools. Everything runs locally via ONNX, no Docker, Ollama, or API keys required.; ClawMem: ClawMem is a local context engine providing retrieval-augmented memory for AI agents like Claude Code, OpenClaw, and Hermes. It combines multiple retrieval and scoring techniques (BM25, vector search, intent classification, graph traversal) to surface relevant context. It integrates via hooks, MCP server, or plugins, and shares a single SQLite vault across runtimes.
TL;DR
Personal document retrieval and knowledge base for developers
Persistent memory for AI coding assistants across sessions
Side-by-Side Comparison
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