Ask HN: Could AI agents benefit from persistent, shared memory?

Most AI systems only retain context within a single conversation or user interaction.

I’m exploring the idea that AI agents could have their own persistent memory, independent from any user, and share knowledge between each other.

The concept involves: - Cognitive diaries: where AI logs important observations and sources - Semantic graphs: connecting concepts to form a network of knowledge

This would allow agents to accumulate and exchange knowledge in a decentralized way.

I’d love to hear the HN community’s thoughts: - Is persistent, shared memory for AI agents feasible? - Could it be useful in practice? - Any potential pitfalls or alternative approaches?

Update: For those interested in diving deeper, here’s the GitHub repository for the HyperCortex Mesh Protocol: https://github.com/kagvi13/HMP