Tech
Fetch.ai says LA Hacks project MultiEval used specialist agents to test multi-agent delegation
Fetch.ai said a winning LA Hacks project called MultiEval used its specialist AI agents to test how multi-agent systems should delegate work, with the system running a 50-agent simulation of the US economy overnight.
50 specialized AI Agents ran a simulation of the US economy overnight.
A winning @LAHacks project, MultiEval, used @Fetch_ai‘s specialist agents to test how multi-agent systems should delegate work.
This system autonomously improved another Agent harness and was used to run a…
— Fetch.ai (@Fetch_ai) August 20, 2026
In a post on the company’s official X account, Fetch.ai described MultiEval as a project that used its specialist agents to evaluate other agents and improve an agent harness autonomously. The company said the setup ran through ASI:One and framed the process as “agents evaluating agents.”
How the LA Hacks project was described
According to Fetch.ai, MultiEval was used to test delegation inside multi-agent systems, with specialist agents helping run the benchmark and improve the harness used for the simulation. The company did not provide additional technical details in the post about the exact structure of the evaluation or the full scope of the overnight run.
The post adds to Fetch.ai’s broader LA Hacks presence, but the central claim is limited to the project’s use of specialist agents, the 50-agent simulation and the ASI:One workflow described by the company.
Fetch.ai also has a LA Hacks event page on its official site, which places the project in the context of its hackathon participation and agent-focused materials.
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Tech
Bittensor SN10 Work Tied to Pareto AI and Engy AI at Exploit Summit
An official Exploit Summit post said @ExploitSummit that @xavi3rlu announced a partnership between pareton_ai and @engyai aimed at optimizing Engy inference latency and throughput using SN10 work.
@xavi3rlu announces a partnership between @pareton_ai and @engyai at Exploit Summit.
The goal: optimise Engy’s inference setup for lower latency and higher throughput, bringing Bittensor’s SN10 optimisation work to another provider’s customers. pic.twitter.com/id3V8uWUUy
— Exploit Summit (@ExploitSummit) September 29, 2026
The announcement frames the collaboration as a technical optimization effort rather than a broader product launch. According to the conference account, the work is intended to improve Engy’s inference performance through SN10-related optimization, with the stated goal of supporting Engy customers.
That is the clearest confirmed detail currently available: the partnership was presented publicly at the event, and the stated focus was on latency and throughput. No additional operational specifics were included in the post, such as implementation timing, deployment scope or whether the optimization is already live for users.
SN10’s role in the announcement
The mention of SN10 places Bittensor-related optimization work at the center of the update, but the announcement does not spell out technical mechanics beyond performance improvements for inference workloads. The post does not describe any token, market or governance implications, and it does not indicate whether the collaboration changes access, pricing or product availability.
For readers following AI-linked crypto projects, the update is best understood as a partnership claim around infrastructure performance. It signals that Pareto AI and Engy AI are positioning SN10 work as part of an effort to make inference more efficient, but the announcement itself stays narrow in scope.
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Tech
BNB Chain Agent Studio v4 adds NodeOpsHQ for prompt-to-agent deployment
BNB Chain said NodeOps is now a deployment option in BNB Agent Studio v4, allowing builders to move from a prompt to a running agent without creating a cloud account or configuring infrastructure.
The update is part of a broader v4 release for BNB Agent Studio, which BNB Chain described as aimed at reducing the manual steps between writing a prompt and getting an agent live. In the company’s framing, the new NodeOps path removes a setup layer that would normally sit between development and deployment.
NodeOps also said agents can go live in BNB Agent Studio v4 using its infrastructure without manual setup. BNB Chain’s blog post described NodeOps alongside AWS and Azure as live deployment options.
The same release also adds stablecoin payment support for agents, with USDT, USDC and USD1 now working alongside $U. BNB Chain said wallet setup, funding and password handling are now automatic, while documentation, error messages and feedback tools have been improved to reduce friction for developers.
The changes make the studio feel more like a streamlined build environment than a setup-heavy toolchain, but the announcement remains centered on deployment convenience rather than a broader shift in the agent market. For developers using the platform, the practical change is that the path from prompt to live agent now appears to involve fewer manual steps.
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Tech
BNB Chain releases Agent Studio v4 with simplified AI agent deployment and stablecoin support
BNB Chain has released Agent Studio v4, updating its AI agent builder with a simpler deployment path, automatic wallet setup and broader stablecoin payment support.
In its announcement, BNB Chain said developers can now deploy through NodeOps without setting up cloud infrastructure themselves. The company also said the updated flow reduces manual steps between creating an agent and getting it running.
The release adds support for USDT, USDC, USD1 and $U as payment options for agents, expanding the stablecoin set available inside the studio. BNB Chain said the change is meant to let developers use the assets they already hold without an extra conversion step.
Agent Studio v4 also automates parts of wallet setup that previously required more manual work. According to the company, TWAK wallet creation now runs in the background, new wallets are funded automatically with test BNB and a test stablecoin, and local wallets receive generated passwords instead of requiring manual setup.
BNB Chain framed the update as part of a broader effort to reduce the friction between prompting an agent and having it live. The company described NodeOps as one of three deployment paths now available in the studio, alongside options for developers using their own cloud accounts.
For teams building on BNB Chain, the main change is practical rather than theoretical: fewer setup steps, more deployment options and a wider choice of stablecoins for agent transactions.
The post BNB Chain releases Agent Studio v4 with simplified AI agent deployment and stablecoin support appeared first on The Cryptocurrency Post.
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