Been diving into @recallnet lately and the more i look, the more it feels like a missing link for onchain intelligence

Think of it as the infra layer that turns blockchain data into structured, queryable memory a recall layer baked straight into your stack

For devs → you get real-time, indexed access to past onchain events without having to spin up your own data pipelines

For AI agents → memory persistence becomes native, so they can pull historical onchain context, pattern match, and act accordingly

What’s interesting is how this plays out for DeFi, gaming, NFT analytics:
➟ track complex multi-tx behaviours without reinventing the wheel
➟ enable autonomous bots to “remember” and adapt over time
➟ build user-facing experiences that respond to historical wallet actions

Still early, but the primitives here could underpin a whole wave of stateful, memory-aware Web3 apps

Anyone else building on #recallnet right now?