Swarm Orchestrator
An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.
README
⚠️ DEPRECATED: Fully migrated to hermes agent.
<div align="center"> <img src="docs/images/swarm_logo.png" alt="Swarm Logo" width="200"/>
Swarm Orchestrator v3.4
Turn your IDE into an Autonomous Engineering Team
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What is Swarm?
Swarm Orchestrator is a Model Context Protocol (MCP) server that extends AI coding assistants like Antigravity, Cursor, and Claude Desktop with deterministic, algorithmic capabilities. Instead of relying purely on LLM reasoning, Vexorbis Swarm uses specialized workers—code analysis, fault localization, formal verification, and autonomous Git management—to deliver faster, more reliable results.
Demo
https://vimeo.com/1158005784
✨ The Three Pillars
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🧠 Algorithmic Core
Go beyond text search.
- HippoRAG: AST-based knowledge graphs with Personalized PageRank for deep code understanding.
- Ochiai SBFL: Find bugs statistically, not by guessing.
- Z3 Verifier: Formal verification for critical logic.
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🤖 Autonomous Workforce
Let the agents handle the grunt work.
- Git Agent Roles: Specialized workers (Architect, Engineer, Auditor) that plan, commit, and create PRs.
- Dynamic Toolsmith: Vexorbis Swarm can design and register new tools at runtime.
- Markdown-Driven: Control the workforce from a
PLAN.mdfile.
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🛡️ Active Governance
Stay in control.
- Telemetry Memory: SQLite-backed persistence for session context and failure analysis.
- Self-Healing: Detects repeated failures and alerts agents to change strategy.
- Permission-First: Autonomous actions (like tool creation) require user approval.
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🚀 Quick Start
Docker (Recommended)
git clone https://github.com/AgentAgony/swarm.git
cd swarm
docker compose up -d --build
Configure Your IDE
Add the MCP server to your IDE's configuration (e.g., ~/.gemini/antigravity/mcp_config.json on Windows):
{
"mcpServers": {
"swarm-orchestrator": {
"command": "docker",
"args": ["exec", "-i", "swarm-mcp-server", "python", "server.py"]
}
}
}
🔍 Tool Selection Guide
flowchart LR
Start([My Goal]) --> Q1{Type?}
Q1 -->|Find symbol by name| A["search_codebase(keyword_only=true)<br/>~1ms"]
Q1 -->|Find code by concept| B["search_codebase()<br/>~240ms"]
Q1 -->|Understand architecture| C["retrieve_context()<br/>~1-2s"]
Q1 -->|Debug failing tests| D["debug command<br/>Ochiai SBFL"]
style A fill:#2ecc71,color:#fff
style B fill:#3498db,color:#fff
style C fill:#9b59b6,color:#fff
style D fill:#e74c3c,color:#fff
🔄 Antigravity Sync
Vexorbis Swarm synchronizes with a human-readable PLAN.md file, enabling a true co-pilot workflow.
From Your Markdown:
## Todo
- [ ] Refactor auth module @architect
- Context: auth.py
- [ ] Add login tests @engineer
Vexorbis Swarm interprets:
[ ]→ Task isPENDING. Agent picks it up.@architect→ Assigns to the Architect worker.Context:→ Pre-loadsauth.pyinto the agent's window.
On completion:
- Agent marks the task
[x]in yourPLAN.mdautomatically.
📖 Documentation
| Getting Started | Concepts | Guides | Reference |
|---|---|---|---|
| Introduction | Architecture | PLAN.md Syntax | Tools |
| Installation | Decision Logic | Git Workflows | Configuration |
| Quick Start | Three Pillars | Debugging | API Reference |
| Custom Tools | Troubleshooting |
📊 Implementation Status
| Component | Status |
|---|---|
| HippoRAG (Multi-language AST) | ✅ Stable |
| Hybrid Search Engine | ✅ Stable |
| Ochiai SBFL | ✅ Stable |
| Telemetry & Memory | ✅ Stable |
| Git Agent Roles | 🚧 Experimental |
| Z3 Verifier | ⚠️ Partial |
| Structured Deliberation | 🚧 Stub |
🤝 Contributing
We welcome contributions! See CONTRIBUTING.md.
Development Mode:
# Enable debug features
export SWARM_DEBUG=true
export SWARM_VERBOSE_TELEMETRY=true
📜 License
MIT License - See LICENSE for details.
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