MeshDB FAQs

Question 1

What is MeshDB and its primary function?

Accepted Answer

MeshDB is a distributed full-text and semantic search engine designed to index files and LLM conversations across multiple servers. It provides a unified search experience for diverse data sources and AI interactions.

Question 2

Which LLM platforms does MeshDB support for conversation indexing?

Accepted Answer

MeshDB supports indexing conversations from Claude Code, Cowork, Cursor, ChatGPT, and Gemini sessions. It automatically discovers and processes Q&A data from these platforms.

Question 3

How does MeshDB handle distributed and semantic search?

Accepted Answer

MeshDB utilizes SQLite FTS5 for distributed full-text search with BM25 ranking and ChromaDB for semantic search using vector embeddings. It aggregates data from various servers via the vssh protocol into a central database.

Question 4

Can MeshDB be integrated with AI agents and tools?

Accepted Answer

Yes, MeshDB includes an MCP (Message-Channel-Protocol) server, enabling AI agents like Claude Desktop/Code to use MeshDB's tools for searching files, reading content, and querying LLM conversations directly within their workflows.

Question 5

What are the core search capabilities offered by MeshDB?

Accepted Answer

MeshDB provides comprehensive search capabilities including full-text search across all indexed servers, semantic search via vector embeddings, and the ability to find specific files by name. It also offers dedicated commands for searching and managing LLM conversations.

MeshDB

MeshDB

Key Features

Use Cases

Key Features

Use Cases