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.
This toolkit helps operations engineers, researchers, and analysts automate complex tasks by combining Robotic Process Automation (RPA) with AI agents. It takes your raw text data (like source code, logs, or reports) or a research topic, and outputs summarized research, data analysis, or even security audit insights. This is for professionals who need to leverage AI for specific, repeatable workflows without deep AI development.
Use this if you need to automate research, analyze text-based datasets using AI, or audit code for vulnerabilities, and you want to control AI agents with structured, data-driven instructions.
Not ideal if you're looking for a simple, off-the-shelf AI chat interface or a tool that doesn't require setting up a local AI model or cloud API.
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Last pushed
Jan 18, 2026
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