How do your AI agents handle outdated or conflicting context?

Hi makers 👋

I’m building MemoryOS, and I’d love feedback from people working on AI agents.

Most AI products already store context. What interests me is how they govern it as things change:

• A user corrects an earlier preference.
• Two sources provide conflicting information.
• Several agents update context about the same person.
• Permissions change, but previously learned context still exists.

How does your product decide what remains current, which source to trust, and what each agent is allowed to reuse?

MemoryOS focuses on this governed context layer: corrections, source authority, provenance, and permission boundaries.

We’re still building and exploring real workflows. I’d particularly like to hear which of these problems you encounter-and what already works well in your current setup.

If you’re interested in following our progress or exploring a design partnership:
https://early-access.memoryo.dev/

Happy to discuss here too.