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Wolido/OpenAaaS

by Various

OpenAaaS: science agent network — bring AI to your data, not your data to AI. AaaS, Agent as a Service, MCP protocol, local execution, Docker sandbox, zero-config Rust nodes.

W

MCP

Wolido/OpenAaaS

Added 1 June 2026

#aaas #agent-as-a-service #ai-agents #ai-for-science #docker #mcp #model-context-protocal #scientific

Overview

OpenAaaS is a science agent network that executes AI agents on local data using an Agent as a Service model. It employs the MCP protocol for orchestration, runs agents in Docker sandboxes, and is built with zero-configuration Rust nodes.

Best for

Best for
Scientists and researchers who need privacy-preserving AI agent networks on local data

Use cases

  • Run AI agents on local scientific data without uploading it
  • Deploy zero-config Rust agents in isolated Docker sandboxes
  • Orchestrate agent services using the MCP protocol

How to use

Install

pip install pyopenaaas

Tools exposed

  • uvx
  • open-aaas-mcp-adapter
  • pi

Tested with

Claude Desktop, Cursor, Cline

Example client config

{\n  "mcpServers": {\n    "openaaas": {\n      "command": "uvx",\n      "args": ["openaaas-mcp-adapter"],\n      "toolTimeoutMs": 600000\n    }\n  }\n}

Notes

OpenAaaS is a science agent network that executes AI agents on local data using an Agent as a Service model. It employs the MCP protocol for orchestration, runs agents in Docker sandboxes, and is built with zero-configuration Rust nodes.

19 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Run AI agents on local scientific data without uploading it
  • Deploy zero-config Rust agents in isolated Docker sandboxes
  • Orchestrate agent services using the MCP protocol

Pros

  • Brings computation to data, preserving privacy
  • Zero-configuration Rust nodes simplify deployment
  • Docker sandboxing provides isolation for agent execution

Cons

  • Low GitHub stars (19) indicate a small community and early stage
  • Limited to the Rust ecosystem for node development
  • Requires Docker, which may be heavy for lightweight environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Brings computation to data, preserving privacy
  • Zero-configuration Rust nodes simplify deployment
  • Docker sandboxing provides isolation for agent execution

Cons

  • Low GitHub stars (19) indicate a small community and early stage
  • Limited to the Rust ecosystem for node development
  • Requires Docker, which may be heavy for lightweight environments
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