Anyrun

Created By

appcom20163 months ago

Overview Content Tools Comments

Overview

anyrun is a Docker sandbox execution engine for AI Agents. It provides secure, isolated code execution with full observability — automatically collecting execution traces, discovering error patterns and success paths via statistical rules, extracting reusable experience as SKILL.md through LLM, and enabling autonomous skill evolution (beta → prod → decayed → retired).

 Key features:
 - Zero-config Docker sandbox: one line of Python to run any code
 securely
 - Full observability: every execution is traced to SQLite + JSON
 - Pattern discovery: error clustering, success path detection, anomaly
 detection
 - Experience extraction: LLM auto-generates SKILL.md from execution
 patterns
 - Self-evolution: skills auto-upgrade, decay, and get repaired
 - MCP native: exposes all tools (sandbox_run, file ops, toolbox
 management) via MCP protocol

 Use cases: AI Agent tool execution, secure code sandboxing, agent
 self-improvement pipelines, CI/CD code execution.

Try in Playground

Server Config

{
  "mcpServers": {
    "anyrun": {
      "command": "python3",
      "args": [
        "-m",
        "anyrun.mcp_server"
      ]
    }
  }
}

Project Info

Created At

3 months ago

Updated At

3 months ago

Author Name

appcom2016

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Homepage

https://github.com/appcom2016/anyrun

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