Peer-to-peer communication for AI coding agents.

Part of the Qualixar research initiative by Varun Pratap Bhardwaj.

SLM Mesh Demo

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