AI Agent History RAG MCP

Example Use Cases

• 1

  Persistent, searchable memory across multiple AI coding sessions and tools.

• 2

  Retrieve relevant context from past conversations using natural language queries.

• 3

  Centralize and synchronize conversation history from multiple machines with offline resilience.

Description

This MCP server ingests and indexes conversation histories from multiple AI coding agents like Claude Code, Codex, Gemini CLI, and Google Antigravity, enabling semantic and hybrid search across long sessions. It supports both single-machine and multi-machine deployments, allowing centralized search and offline resilience. Features include real-time indexing, session summaries, file change tracking, and a built-in diagnostic tool, enhancing context retention and retrieval for AI coding workflows.