Agent History RAG
Full featured aggregation of all your AI agents in single vector database for full MCP search.
What is Agent History RAG?
Agent History RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to full featured aggregation of all your ai agents in single vector database for full mcp search.
Full featured aggregation of all your AI agents in single vector database for full MCP search.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Full featured aggregation of all your AI agents in single ve
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-agent-history-ragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Agent History RAG
What is Agent History RAG?
Agent History RAG is a Model Context Protocol (MCP) server that full featured aggregation of all your ai agents in single vector database for full mcp search. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Agent History RAG?
Follow the installation instructions on the Agent History RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Agent History RAG?
Agent History RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Agent History RAG free to use?
Yes, Agent History RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Agent History RAG Alternatives — Similar Knowledge & Memory Servers
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Everos
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Agent History RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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