How does AgentHub manage conflicts between AI agents?

It implements a 'Soft Locking Protocol' using Intents. Agents declare their intention to modify files, allowing AgentHub to semantically coordinate and prevent race conditions.

Which AI coding agents and tools can connect to AgentHub?

AgentHub is compatible with any Model Context Protocol (MCP) client, including popular tools like Claude Code, Cursor, VS Code, and Gemini CLI, allowing for diverse agent ecosystems.

AgentHub is a local Model Context Protocol (MCP) server that orchestrates multi-agent coordination, enabling AI coding agents to work concurrently on a codebase without conflicts.

What development workflows does AgentHub support?

AgentHub streamlines workflows with a real-time message bus for communication, a built-in code review lifecycle, expert escalation to Azure OpenAI for complex tasks, and a TUI dashboard for monitoring agents.

AgentHub

Name: AgentHub
Author: propstreet

bypropstreet

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Developer Tools

Productivity & Workflow

Collaboration Tools

Orchestrates multi-agent coordination for AI coding agents, enabling simultaneous work on a codebase using a Model Context Protocol server.

AgentHub is a local-only Model Context Protocol (MCP) server that functions as a central nervous system for AI coding agents. It facilitates multiple agents (like Claude Code, Cursor, VS Code, Gemini CLI) to collaboratively work on the same codebase without conflicts. It achieves this through a Soft Locking Protocol based on Intents, allowing agents to declare their intentions to edit, coordinate, execute tasks, and route changes for review. Beyond just locking, AgentHub acts as a communication bus and an expert escalation system, integrating with advanced LLMs for complex architectural tasks, thereby streamlining AI-driven development workflows.

Key Features

01Intent Coordination: Prevents race conditions with semantic file locks for agents.

02Message Bus: Enables real-time communication between multiple AI agents.

031 GitHub stars

04TUI Dashboard: Offers a terminal interface to monitor active agents, intents, and system events.

05Code Review Workflow: Provides a built-in lifecycle for requesting and claiming code reviews.

06Expert Escalation: Integrates asynchronously with Azure OpenAI for complex architectural queries.

Use Cases

01Coordinating code review processes between AI agents and human developers.

02Delegating complex architectural tasks to advanced large language models for expert advice.

03Managing multiple AI agents collaboratively editing a shared codebase.