Conversation Search
Provides semantic and traditional search capabilities across Claude Code conversation history, leveraging vector embeddings and hybrid search.
About
An advanced server designed to offer powerful search and management functionalities for Claude Code conversation history. It integrates both traditional keyword-based full-text search and cutting-edge semantic similarity search powered by OpenAI vector embeddings. Users can benefit from a hybrid search approach for optimal results, as well as tools for conversation management like AI-powered auto-naming, batch operations, and detailed session retrieval, all while ensuring data privacy with local storage and secure API key handling.
Key Features
- Hybrid Search (Semantic + Keyword Matching)
- Vector Search with OpenAI Embeddings
- AI-Powered Conversation Auto-Naming
- Incremental Conversation Database Updates
- Comprehensive Conversation Management Tools
- 0 GitHub stars
Use Cases
- Semantically searching and retrieving past Claude Code conversations
- Automatically organizing and renaming conversation histories for better management
- Maintaining and updating a local, searchable database of conversation records