jg8481/Robot-Framework-AI-Agent-Datadriver
This is an evolving toolkit focused on AI agent experiments that combine the capabilities of Codename Goose, MCP tools, the Robot Framework ecosystem, decentralized LLMs on Ollama, and Docker.
Orchestrates AI agent workflows using Robot Framework's data-driven testing via CSV files and Pabot for parallel execution, enabling controlled multi-agent automation across local or cloud LLMs. Supports dual deployment modes: private decentralized inference with Ollama on local hardware, or cloud API providers via Codename Goose Docker containers. Built-in capabilities include topic research, RAG-based dataset analysis, source code vulnerability auditing, and roadmap support for MCP server integration and multi-cloud simultaneous agent coordination.
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Jan 18, 2026
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