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Peer-to-peer communication for AI coding agents.
Part of the Qualixar research initiative by Varun Pratap Bhardwaj.
3 AI agents across VS Code, iTerm2, and Antigravity — discovering each other, sharing state, and coordinating in real-time.
npm install -g slm-mesh
claude mcp add --scope user slm-mesh -- npx slm-mesh- Getting Started — Install, configure, send your first message
- Architecture — System design, data model, communication flow
- MCP Tools Reference — All 8 tools with parameters and examples
- CLI Reference — Every command with examples
- Configuration — Environment variables and tuning
- Python Client — Python SDK guide
- Security — Authentication, threat model, file permissions
- Troubleshooting — Common issues and solutions
- Integrations — Setup for Claude Code, Cursor, Windsurf, Antigravity, VS Code
- FAQ — Frequently asked questions
- GitHub: https://github.com/qualixar/slm-mesh
- npm: https://www.npmjs.com/package/slm-mesh
- PyPI: https://pypi.org/project/slm-mesh/
- YouTube Demo: https://youtu.be/IDYCTPJLKVs
- Dev.to Article: https://dev.to/varun_pratapbhardwaj_b13/i-built-a-peer-to-peer-communication-layer-for-ai-coding-agents-heres-how-it-works-4nn