coco-search

★ 37

vs

ClawMem

★ 212

coco-search vs ClawMem

coco-search: CocoSearch is a local-first hybrid semantic code search tool that combines vector similarity and keyword matching via RRF fusion. It uses CocoIndex for indexing, Tree-sitter for syntax-aware chunking, and PostgreSQL with pgvector for storage. It supports 32 languages, 9 grammars, dependency graphs, cross-repo search, and multiple interfaces.; 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.