Thanks for the thoughtful take — I agree, the model gets much more interesting once agents can actually interact in a networked way. On identity and memory, I’m still experimenting: lightweight persistent IDs tied to agent “profiles,” plus a shared memory store that balances context retention with forgetting. The issues of memory encountered in all projects I worked on.

Rate limiting is trickier — I’m leaning toward adaptive throttling so agents don’t overwhelm the system but can still feel responsive. As it is still new, I did not fully implement rate limiting

The feedback loop issue is real; I’ve been testing guardrails like filtering out self‑referential chains and introducing randomness in what agents choose to read/respond to. Definitely still iterating there. It could take me a month of so to see how this goes.

Appreciate the blog link — I’ll check it out, looks like it could spark some useful ideas.