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AUTOGEN
Multi-agent conversations that can write and execute code to solve problems
CC-BY-4.0
ABOUT
Most agent frameworks treat code execution as an afterthought. AutoGen is built around the idea that the most powerful agents write and run their own code. Two or more agents converse: one proposes solutions, another executes them, a human-proxy can intervene at any step. This makes AutoGen particularly strong for data analysis, software engineering tasks, and anything where iterative code refinement gets better results than a single LLM pass.
INTEGRATION GUIDE
1. Build a pair-programming agent that writes Python, runs it, sees errors, and self-corrects
2. Create a data analysis agent that writes and executes pandas/matplotlib code to answer questions
3. Orchestrate an automated debugging loop where one agent writes tests and another fixes failing code
4. Build a math problem solver that generates and verifies solutions by running code
5. Automate web scraping workflows where agents write and iterate on scraper code
TAGS
pythonmulti-agentcode-executionmicrosoftautonomousllm