Some days with AI feel like Groundhog Day. You guide it through your project, it helps… then forgets everything by tomorrow. And you’re back to square one. Again.
You shouldn’t have to re-explain the same context, point out the same mistakes, or teach it the same patterns every day. Developers learn from experience. Their AI Agents should too.
🧠The solution is Team-level Memory in AI Agent
With shared Memory, every AI Agent on your dev team:
AI solves tasks with full context plus experience. Project context sticks. Agents learn from each other and improve over time
Read the full article to see how long-term memory transforms AI programming.
🔥 Team-level Memory is coming to Refact.ai Agent.
Want an AI Agent that develops software with your team’s experience built in?
Join the waitlist to be the first to try it.
In June, we focused on bug fixes, stability, and code cleanup, so you might notice your plugin running smoother than before. And of course, we’ve been cooking up some exciting updates for the future. Stay tuned, next month’s going to be on fire!
Enterprise/OSS updates
OSS:
Enterprise:
Good prompts are helpful. But they won’t get you far without context engineering.
We reviewed dozens of ‘best prompts 2025’ that fail in practice. In this 30-minute session, we share proven context engineering and prompting techniques to get better results with the AI Agent.
Refact.ai Agent lets you focus on creativity — while AI handles programming.
Check out our latest Showcase: a fitness app with AI-powered movement tracking and an explainer tool, built by our users.
Also, message us on Discord if you want to present your project!
Use it in VSCode or JetBrains: assign a task and get more done with less manual coding. Got questions, feedback, or just want to chat? Join us on Discord!