edobusy/agenthold

What it does

AgentHold is an MCP server that provides a distributed state management solution for coordinating concurrent AI agents. It implements a shared versioned state store with optimistic concurrency control, allowing multiple agents to safely read and write shared state without conflicts. The tool uses SQLite as a backend for persistent storage and implements claim/release locking mechanisms to manage concurrent access patterns.

How to set up

Installation requires Python and can be set up via the GitHub repository. Clone the repository from edobusy/agenthold, install dependencies, and configure the SQLite database backend. The MCP server integration allows it to work with compatible AI platforms. Detailed setup instructions are available in the repository documentation.

Key features

• Optimistic concurrency control for safe concurrent agent operations
• SQLite-backed persistent state storage
• Claim/release lock mechanisms for resource coordination
• Append-only audit log for tracking all state changes
• Version control for state snapshots
• Cross-platform support (Python, macOS, Windows, Linux)