AI agents are getting smarter. But are they becoming more reliable?

I've been working on Synapse Memory, an open-source infrastructure project focused on persistent agent memory and execution reliability.

It helps developers inspect retrieval decisions, manage context, trace tool execution, and understand agent failures.

I'm currently looking for Python agent developers who would be willing to try it in a real workflow and share honest feedback.

I'm particularly interested in how you're currently handling memory persistence, tool failures, retries, and execution tracing.

Project: https://github.com/721189/Synapse-Memory

If this overlaps with something you're building, I'd be interested in hearing about your experience.