AIPass: A New Open Source Multi-Agent Framework with Persistent Memory and Collaboration
product#agent📝 Blog|Analyzed: Apr 23, 2026 11:19•
Published: Apr 23, 2026 06:00
•1 min read
•r/artificialAnalysis
This incredibly exciting development introduces AIPass, a local CLI framework that fundamentally transforms how we interact with AI agents by giving them persistent memory and identity. By moving away from isolated sandboxes, this Open Source project allows multiple agents to collaborate seamlessly on the same files, acting like a true team rather than disconnected workers. It's a massive leap forward in usability, as users no longer need to waste time re-explaining context or manually acting as the glue between different tools!
Key Takeaways
- •Agents using AIPass share the same filesystem and files without isolated sandboxes, enabling true real-time collaboration.
- •Agent memory and collaboration patterns are stored in simple, git diff-able JSON files within a .trinity/ directory, requiring no database setup.
- •The framework eliminates the need for users to manually copy context between tools and act as project coordinators.
Reference / Citation
View Original"One agent on one project with persistent memory is already a different experience. Come back the next day, say hi, and it knows what you were working on, what broke, what the plan was."