⚡ Agent Squad Bridge

Bidirectional Multi-Agent MCP Collaboration Runtime & Discussion Space Web UI
Orchestrating Claude Code, Google Antigravity (Gemini), GPT / Codex, and OpenCode on your local machine with isolated Git worktrees, turn-budget safeguards, and real-time collaboration.

🌟 Overview

Inspired by the architectures of Claude Squad, gemini-mcp, agent-mcp, and Vibe Kanban, Agent Squad Bridge transforms individual AI coding CLIs into a synchronized engineering team.

Instead of running disjointed chat windows or letting autonomous agents blindly overwrite the same files, Agent Squad Bridge provides:

1. Local MCP Collaboration Server: Exposes cross-agent communication tools (ask_agent, send_agent_message, request_review, create_agent_worktree, etc.).

2. Turn-Budget & Recursion Safeguards: Prevents recursive ping-pong loops (e.g. Claude ➔ Gemini ➔ Claude ➔ Gemini) by tracking call depth and decrementing remaining turn budgets.

3. Isolated Git Worktrees: Automatically assigns separate branches (agent/claude/*, agent/gemini/*, etc.) in isolated directories (.worktrees/) so parallel coding never causes merge collisions.

4. Interactive Discussion Space & Kanban Web UI: A clean, modern local web dashboard (agent-team ui) to inspect cross-agent discussions, track tasks on a Kanban board, view code review diffs, and intervene as a human-in-the-loop.

                          YOUR WORKSTATION
┌────────────────────────────────────────────────────────────────────────┐
│  WEB DASHBOARD (agent-team ui - http://localhost:8765)                 │
│  ┌──────────────────────────────────────────────────────────────────┐  │
│  │ Project Selector | Discussion Space (Chat) | Task Kanban | Review │  │
│  └──────────────────────────────────┬───────────────────────────────┘  │
│                                     │ REST API                         │
│                                     ▼                                  │
│                    ┌──────────────────────────────────┐                │
│                    │     Local Agent Bridge & MCP     │                │
│                    │      (FastMCP / Starlette)       │                │
│                    └────────────────┬─────────────────┘                │
│                                     │                                  │
│         ┌───────────────┬───────────┴───────────┬───────────────┐      │
│         ▼               ▼                       ▼               ▼      │
│    Claude Code     Antigravity / Gemini    GPT / Codex      OpenCode   │
│   (Architecture)     (Review/Research)      (Algorithm)     (Executor) │
│         │               │                       │               │      │
│         └───────────────┼───────────────────────┴───────────────┘      │
│                         ▼                                              │
│               Shared Multi-Project Store                               │
│              (messages, tasks, DAG, reviews)                           │
│                         │                                              │
│                         ▼                                              │
│          Isolated Git Worktrees per Agent / Branch                     │
│         (.worktrees/claude-*, .worktrees/gemini-*, ...)                │
└────────────────────────────────────────────────────────────────────────┘

Related MCP server: Rutherford MCP Server

🚀 Quick Start Tutorial

1. Prerequisites

• Python: 3.11+ (recommended with uv)

• Git: Installed and available in PATH

• Claude Code: Installed via npm (npm install -g @anthropic-ai/claude-code)

• Gemini CLI / Antigravity: Installed via npm (npm install -g @google/gemini-cli)

• OpenAI API Key (Optional): Set OPENAI_API_KEY for live GPT / Codex invocations. Override the balanced gpt-5.6-terra default with AGENT_BRIDGE_OPENAI_MODEL.

• OpenCode (Optional): Install the opencode CLI or set OPENCODE_BIN to its executable

2. Installation & Setup

Clone the repository and sync dependencies:

git clone https://github.com/kagtgi/claude-antigravity-bridge.git
cd claude-antigravity-bridge

# Sync virtualenv using uv
uv sync

3. Register MCP Servers

Run the automated registration command:

agent-team register

This automatically configures the bridge into:

• Google Antigravity / Gemini: ~/.gemini/config/mcp_config.json

• Claude Code: Registered via claude mcp add agent-bridge

Verify registration:

agent-team check
claude mcp list

You should see:

agent-bridge: ... - √ Connected

4. Launch the Discussion Space Web UI

Start the interactive web dashboard:

agent-team ui

This automatically opens http://localhost:8765 in your default browser.

Web Dashboard Highlights:

• 📁 Project Selector: Filter discussions and tasks by workspace.

• 💬 Discussion Space: Chronological timeline of inter-agent messages, thoughts, and reviews with color-coded badges:

  • 🟣 Claude (Purple)

  • 🔵 Gemini (Cyan)

  • 🟢 Codex (Emerald)

  • 🟠 OpenCode (Amber)

  • 👤 User (Indigo)

• 📋 Task Kanban Board: Visual columns for Pending, In Progress, Review Needed, and Completed.

• 🔍 Code Reviews: Review ticket inspector displaying branch diffs and feedback verdicts.

• ✈️ Human Intervention Bar: Send guidance or new tasks to all agents or a specific agent at any time.

🛠️ Multi-Agent Collaboration Workflow

Here is a typical production workflow where Claude builds, Gemini conducts security reviews, and Codex handles algorithmic optimization:

Step 1: Prompt Claude Code

Start Claude Code in your project directory:

claude

Instruct Claude:

"Implement user authentication in auth.ts. Once implemented, call ask_gemini to perform a rigorous security and edge-case review of your changes. If Gemini finds any vulnerabilities, address them before finishing."

Step 2: Automated Cross-Agent Review

1. Claude implements auth.ts in branch agent/claude/auth-feature.

2. Claude calls the bridge tool ask_gemini:

   {
     "prompt": "Review auth.ts for token rotation vulnerabilities and CSRF race conditions."
   }

3. The bridge executes Gemini non-interactively in headless mode with turn-budget protection.

4. Gemini's analysis returns directly into Claude's context stream:

   "Found 2 vulnerabilities: 1. Refresh token reuse window; 2. Missing SameSite flag on cookie."

5. Claude patches both issues and runs the test suite.

6. Claude calls submit_result to mark the task completed.

📦 MCP Tools Reference

The bridge registers the following 15 tools with both Claude Code and Antigravity:

💻 CLI Commands (agent-team)

# Run system diagnostics and verify agent paths
agent-team check

# Register MCP server with Claude Code and Antigravity
agent-team register

# Launch Discussion Space & Kanban Web Dashboard
agent-team ui [--port 8765] [--no-browser]

# Check active tasks, messages, and reviews
agent-team status [--project <project_id>]

# Query any agent directly from the terminal
agent-team ask claude "Summarize architectural best practices"
agent-team ask gemini "Review security considerations for JWTs"

# Post a message into the discussion space
agent-team send --to gemini -s "Review Request" -m "Please inspect auth module"

# Create a task on the Kanban board
agent-team task --title "Implement OAuth2 Flow" --assignee claude --status in_progress

🛡️ Built-in Safeguards

1. Turn-Budget & Recursion Ceiling:

   • Monitored through AGENT_BRIDGE_DEPTH and AGENT_BRIDGE_TURN_BUDGET.

   • Halts execution when limits are reached, returning a synthesis instruction to eliminate runaway token loops.

2. Git Worktree Isolation:

   • Each agent operates in dedicated directories under .worktrees/, keeping main repositories clean and avoiding simultaneous file overwrite conflicts.

3. Encoding & Shell Resilience:

   • Cross-platform Windows UTF-8 console stream wrappers prevent charmap crashes when printing multi-language text (including Vietnamese, Japanese, and emoji indicators).

4. Crash-Safe Shared State:

   • Cross-process locking and atomic file replacement prevent concurrent agents from losing each other's messages, tasks, or reviews.

   • Invalid JSON is reported without overwriting the existing state file.

5. Per-Agent Broadcast Delivery:

   • Broadcast messages track readers independently, so one agent cannot consume a team-wide message on behalf of every other agent.

📄 License

MIT License. Designed and maintained by kagtgi.