Sui price

Manual clicks cap a chain’s ceiling. What lifts it is autonomous flow and that’s exactly where @Talus_Labs agents on Sui make sense: they run verifiable workflows (Nexus) while Sui’s object-centric Move model gives them real asset authority and low-latency execution. I double-checked the Litepaper/Whitepaper Talus explicitly picked Sui for on-chain logic security + the flexible object model + parallelism, i.e., the stack you need when interactions get high-frequency. We’re also in the final sprint of the testnet/leaderboards, so if you want to feel the difference between “bots” and agents, now’s the time. The incentives thread (cash + points) is live, but the bigger story is throughput meeting autonomy: agents compose tools, leaders coordinate off-chain calls, and settlement lands transparently on Sui. ❯ Spin one loop today: monitor → decide → act (e.g., price spike alert → policy → on-chain post). ❯ Watch how Sui’s object model keeps permissions clean while the workflow stays fast. Talus labs ❯ If you’re technical, peek the nexus-sdk activity and wire a tiny Tool; production rails are there. Net: autonomous DeFi, AvA matchups, and complex dApps don’t happen with manual clicks they happen when agents think and act at chain speed. Talus provides the brain/hand; Sui supplies the reflexes. I’m tracking how many agents keep winning loops after rewards end that’s the real adoption tell.

Princess Manman went to the zoo today and saw @SentientAGI puppy and @Talus_Labs frog locked up together, and after asking, she found out that they were talking about cooperation, and the time and space disorder allowed them to enter the human zoo, and Princess Manman led them out Sentient is an open source diehard, with two brothers, SentientEco and OpenAGISummit, vowing to keep AGI from being locked in a safe by big manufacturers, and Talus Labs is a ruthless role in the proxy arms race on the Sui chain, backed by @0xPolygon to install a money-making engine for AI agents, one is brain + traffic, the other is execution + monetization, and it is a golden combination of CPU + graphics card Talus throws out the Nexus framework, the agent comes with its own autonomous brain, can learn, collaborate, and make decisions, and is also compatible with OpenAI API, developers can create verifiable DeFi risk control and automated trading tools on the chain in minutes, Sentient takes out the whole family bucket, ODS manages data privacy, ROMA engages in complex reasoning, GRID is a distributed computing + incentive layer, DOBBY allows developers to brush code together without involution, As a result, Talus agents are natively stationed in AgentHub, and users can use them when they click on them The economic model is more ruthless, GRID is the more money printing machine agents are used, the more developers earn, a DeFi analysis agent automatically shares each transaction, developers lie down and count money, and the circular logic is simple and crude: build → with → to issue coins→ more people build, compared to the traditional AI platform's set of training to pull down this call to earn immediately, the open source party directly flocks to the market, and the agent economy takes off and runs into the market And the distribution bottleneck is broken in seconds, 3 million users are within reach, GRID smashes money, no code lowers the threshold, users from manual mining data to one-click automation, life is directly upgraded to automatic transmission, the entire ecological AI agent has evolved from a tool to a digital worker, can compete, can make money, can be verified on the chain, OpenAI has to sweat when it sees it This cooperation is a milestone in open source AGI, and by 2026, the Talus-Sentient agent is estimated to run wildly across chains, from currency speculation to poetry writing, and the open intelligent economy is no longer PPT