MLSysOps/MLE-agent
An LLM-based agent framework designed to autonomously build ML baselines, debug code, and assist with AI engineering tasks.
Not currently ranked — collecting fresh signals.
star history
MLE-Agent is a multi-model AI agent designed for ML engineers and researchers. It integrates with Arxiv and Papers with Code to access state-of-the-art methods and build autonomous baselines. The framework supports OpenAI, Anthropic, Gemini, and Ollama providers, features Code RAG for context-aware assistance, and includes smart debugging with automatic debugger-coder interactions. It can independently participate in Kaggle competitions and complete end-to-end ML tasks.
Frequently asked
- What is MLSysOps/MLE-agent?
- An LLM-based agent framework designed to autonomously build ML baselines, debug code, and assist with AI engineering tasks.
- Is MLE-agent open source?
- Yes — MLSysOps/MLE-agent is open source, released under the MIT license.
- What language is MLE-agent written in?
- MLSysOps/MLE-agent is primarily written in Python.
- How popular is MLE-agent?
- MLSysOps/MLE-agent has 1.6k stars on GitHub.
- Where can I find MLE-agent?
- MLSysOps/MLE-agent is on GitHub at https://github.com/MLSysOps/MLE-agent.