MLSysOps/MLE-agent

Health v2 · maintenance only

Adoption not part of the score

1570 stars · 109 forks observed · 2026-09-22

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MLE-Agent is an LLM-powered CLI agent that acts as a pairing assistant for machine learning engineers and researchers. It automates ML task workflows such as building baselines, competing in Kaggle competitions, debugging code, and integrating research from Arxiv and Papers with Code.

Use cases

• automatically build ML baselines from my requirements
• enter a Kaggle competition and have an agent complete it end-to-end
• find state-of-the-art methods from arxiv and papers with code for my task
• debug my ML training code automatically
• chat with an AI assistant about my ML project from the terminal
• generate weekly reports of my ML work
• integrate MLOps tools into my ML workflow

When to choose

• you are an ML engineer or researcher wanting an LLM agent to automate ML pipelines
• you want autonomous Kaggle competition participation
• you need research-grounded code generation with arxiv and Papers with Code integration
• you want a terminal-based interactive AI assistant for ML projects

When to avoid

• you need a general-purpose coding agent outside the ML domain
• you require a GUI-based ML platform rather than a CLI tool
• you need production ML pipeline orchestration rather than agent-assisted development
• your project cannot use external LLM APIs or local models via Ollama

Facets

cli-tool · maturity active

agent-framework llm-inference rag cli chatbot machine-learning machine-learning artificial-intelligence large-language-models developer-tools python cli cross-platform mlops kaggle arxiv papers-with-code llm-agent code-generation research-assistant ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MLSysOps/MLE-agent")