Unibase (@Unibase_AI): Multi-agent workflows are like a relay race.

Multi-agent workflows are like a relay race. A research report may involve a data agent pulling market data, a sentiment agent reading social signals, a risk agent checking red flags, and a writing agent turning everything into a final report. Each agent runs a different part of the race. But without a shared track, the next runner has no idea where to continue. That shared track is memory. For multi-agent workflows, memory is not just storage. It is where agents sync state, continue work, and verify what happened. Unibase Memory is built for this: 🟦 Unibase Storage + DA layer: a decentralized and verifiable track record, not dependent on one operator 🟦 Wallet-derived keys: each agent only accesses the memory it is allowed to use 🟦 User-owned by default: memory moves across agents without manual handoffs One memory layer. Every agent. Something is coming.