We’re excited to open source Agent from Scratch : a minimalist approach to understanding AI agents! For anyone exploring building an AI agent, this could be a great starting point. Give it a try, and don’t forget to give the repo a ⭐️ on GitHub!
Co-founder at Hexo.ai | KU Leuven, Top 1% Kaggle, Open Source developer, Previously Resident at EF and Antler
Wohoo!!! Super Excited to Open Source - Agent from Scratch : a minimalist approach to understanding AI agents! My experience with building AI agents with existing frameworks and resources are that they are often too complex, with details buried deep in frameworks and dense research papers. Over the past year, I've had countless conversations with developers and ML engineers about AI agents and all of them voiced the same! By forking OpenAI's Swarm repository, I've created a stripped-down, single-script implementation that demystifies how agents work. No frameworks, no complexity - just a simple python script that you can read in 15 minutes! What's special about agent-from-scratch? ✅Single Python script (agent dot py) that shows exactly how agents work ✅Clear examples of both single and multi-agent systems ✅Perfect for developers who learn best by reading actual code ✅Fork-friendly: use it as a foundation for your own agent experiments 🤔 Spoiler alert: At their core, agents are simply LLMs with function-calling capabilities running in loops. Sometimes the simplest explanations are the best! Let us democratize Agents and make it accessible to everyone! Details about the repo in the comments