This repository gives you everything needed to supercharge your Cursor or Windsurf IDE with advanced agentic AI capabilities—similar to the $500/month Devin—but at a fraction of the cost. In under a minute, you’ll gain:
- Automated planning and self-evolution, so your AI “thinks before it acts” and learns from mistakes
- Extended tool usage, including web browsing, search engine queries, and LLM-driven text/image analysis
- [Experimental] Multi-agent collaboration, with o1 doing the planning, and regular Claude/GPT-4o doing the execution.
Devin impressed many by acting like an intern who writes its own plan, updates that plan as it progresses, and even evolves based on your feedback. But you don’t need Devin’s $500/month subscription to get most of that functionality. By customizing the .cursorrules file, plus a few Python scripts, you’ll unlock the same advanced features inside Cursor.
- Easy Setup
Copy the provided config files into your project folder. Cursor users only need the .cursorrules file. It takes about a minute, and you’ll see the difference immediately.
- Planner-Executor Multi-Agent (Experimental)
Our new multi-agent branch introduces a high-level Planner (powered by o1) that coordinates complex tasks, and an Executor (powered by Claude/GPT) that implements step-by-step actions. This two-agent approach drastically improves solution quality, cross-checking, and iteration speed.
- Extended Toolset
Includes:
- Web scraping (Playwright)
- Search engine integration (DuckDuckGo)
- LLM-powered analysis
The AI automatically decides how and when to use them (just like Devin).
- Self-Evolution
Whenever you correct the AI, it can update its “lessons learned” in .cursorrules. Over time, it accumulates project-specific knowledge and gets smarter with each iteration. It makes AI a coachable and coach-worthy partner.
- Copy this repository’s contents into your Cursor or Windsurf project.
- For Cursor, .cursorrules is automatically loaded. For Windsurf, add .windsurfrules plus the Scratchpad for updates.
- Adjust .env with your own API keys, run pip install -r requirements.txt, and you’re all set.
- Start exploring advanced tasks—such as data gathering, building quick prototypes, or cross-referencing external resources—in a fully agentic manner.
Check out our blog post on how we turned $20 into $500-level AI capabilities in just one hour. It explains the philosophy behind process planning, self-evolution, and fully automated workflows. You’ll also find side-by-side comparisons of Devin, Cursor, and Windsurf, plus a step-by-step tutorial on setting this all up from scratch.
License: MIT