#1 AI on DappBay.
OptimAI is gaining serious momentum.
• 538K+ users
• 1.36M+ transactions
Turns out when agents + nodes + real data come together… people actually use it.
Huge milestone for the OptimAI community.
Keep building.
💡https://t.co/AElh5BCJUO
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OptimAI Search is live on @BNBCHAIN, powered by opBNB + Greenfield - turning decentralized nodes into real-time intelligence across web + social.
Check it out: https://t.co/FdnEXrcwVW
OptimAI Core Node v2 is live.
And with it, the introduction of OptimAI Claw.
From nodes as infrastructure → to nodes as execution environments.
With Core Node v2, every device becomes a runtime for native personal agents.
👉https://t.co/FxaKcnFxH5
Get your node up and running.
No complex setup.
No fragmented tooling.
Just a few clicks... and your agent is live.
OptimAI Claw brings persistent, node-resident agents directly into your system:
• Multi-source research across web & social
• Real-time summarization and signal tracking
• Autonomous workflow execution
• Continuous learning through reinforcement
All running locally.
All under your control.
Supported on Windows & macOS.
This is beyond prompt-based AI.
Beyond isolated tools.
This is personal agent infrastructure.
Where every node thinks, acts, and evolves.
Claw is now part of the network.
And this is only the beginning.
Happy Building, Making Impact! 🔥
At OptimAI, we treat search very differently.
💡https://t.co/23lplRMNR8
Search is often framed as a product, a place you go to retrieve information. But for AI systems, search is not a destination. It is infrastructure.
Agents don’t operate on isolated queries. They require continuous access to fresh, multi-source data (web, social, and real-time signals) flowing as part of an ongoing process.
This fundamentally changes how search must be designed. It is no longer a query-response loop. It becomes a distributed pipeline that continuously retrieves, verifies, and updates context.
OptimAI Search is built this way.
Through a decentralized network of nodes, it can scale horizontally: accessing and processing thousands of sources in parallel, rather than being limited to a small set of indexed results.
Instead of searching a few pages better, the system explores the web at scale --> concurrently, continuously, and without bottlenecks.
This is what enables agents to operate, not just respond.
What you’re using is not just search. It’s the data layer for autonomous systems.