AI Infrastructure · GitHub ·1,561 ★

MLE-agent

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

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Details

Author
MLSysOps
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
1,561
First indexed
2026-06-14
Last active
2025-07-27
Directory sync
2026-06-14
@MLSysOpsDiscord

Overview

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

Quick start

git

git clone https://github.com/MLSysOps/MLE-agent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What MLE-agent can do

agentaillmmlmle
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Ai — ai task automation.
  • Llm — llm task automation.
  • Ml — ml task automation.
  • Mle — mle task automation.

Frequently asked questions

What is MLE-agent?
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG
How do I install MLE-agent?
Use git: `git clone https://github.com/MLSysOps/MLE-agent`. Full setup details on the source page linked above.
Is MLE-agent open source?
MLE-agent is published on GitHub.
What are alternatives to MLE-agent?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for MLE-agent is sourced from GitHub, published by MLSysOps.

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