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Anyrun

@appcom2016

About Anyrun

No overview available yet

Basic information

Category

Other

Transports

stdio

Publisher

appcom2016

Submitted by

appcom2016

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Anyrun?

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, and extracting reusable experience as SKILL.md via LLM, with autonomous skill evolution.

How to use Anyrun?

Run any code securely with a single line of Python. All tools (sandbox_run, file operations, toolbox management) are exposed via the MCP protocol.

Key features of Anyrun

  • Zero-config Docker sandbox: one line of Python
  • Full observability: traces stored to SQLite + JSON
  • Pattern discovery: error clustering and anomaly detection
  • LLM auto-generates SKILL.md from execution patterns
  • Self-evolution: skills auto-upgrade, decay, and repair

Use cases of Anyrun

  • AI Agent tool execution
  • Secure code sandboxing
  • Agent self-improvement pipelines
  • CI/CD code execution

FAQ from Anyrun

What runtime does Anyrun require?

Anyrun requires Docker for sandbox execution and Python for client integration.

How does Anyrun store execution data?

Every execution trace is stored to SQLite and JSON for full observability.

What protocol does Anyrun use to expose tools?

Anyrun exposes all tools (sandbox_run, file ops, toolbox management) natively via the MCP protocol.

Can Anyrun evolve its skills automatically?

Yes, skills auto-upgrade, decay, and get repaired as part of the self-evolution feature.

What is SKILL.md?

SKILL.md is a file containing reusable experience automatically extracted from execution patterns by the LLM.

Comments

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