lilbee vs coco-search
lilbee: lilbee allows you to interactively or programmatically chat with a database of documents using strictly your own hardware, completely offline. It can augment any AI agent via MCP or shell, supports a wide range of document formats (PDF, Office, images, code, etc.), and includes a built-in REST API for integration into any GUI. It also provides per-project isolated indexes for privacy and organization.; 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.
TL;DR
Local document Q&A with offline privacy
Exploratory/semantic queries about code functionality
Side-by-Side Comparison
Features
Use Cases
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.