GOAI Global Open-Source AI Challenge - Four Tracks Officially Launched

Seeking Open-Source Forces Worldwide to "Bring AI into the Real World"

Hangzhou, China--(Newsfile Corp. - July 23, 2026) - On July 21, 2026, the GOAI Global Open-Source AI Challenge (goaihz.com) officially unveiled its four competition tracks and participation rules, calling for projects from AI builders, research teams, open-source communities, and industry innovators worldwide.

Centered on the core theme of "Bringing AI into the Real World," this year's competition features four major tracks: Agent Infra, Boundless Agents, AI for Research and Embodied Future, covering areas such as agent infrastructure, industry applications, scientific research, and embodied intelligence. The competition aims to drive AI from capability demonstrations toward real-world tasks, and from isolated demonstrations toward open systems that are operational, reproducible, and verifiable.

Four Tracks, Four Pathways to Real-World AI Implementation

As AI agents transition from conceptual demonstrations to actual "on-the-job" deployment, the industry's expectations for AI have shifted from "Can it hold a conversation?" to "Can it get the job done?" At the same time, as generative AI's ability to complete end-to-end tasks continues to improve, the industry's focus is shifting: attention is no longer limited to the capabilities of models, but also extends to their stability, controllability, and security-ultimately returning to a single goal: whether they can be seamlessly integrated into real-world workflows.

The track design for this year's competition represents a systematic response to this trend: it focuses not only on the infrastructure supporting the operation of intelligent agents but also seeks application products that can be integrated into industry scenarios; it encourages AI to play a deep role in scientific discovery while also promoting direct interaction between AI and the physical world.

Track 1: Agent Infra

The Agent Infra track focuses on multi-agent infrastructure and collaborative systems for complex tasks, driving agents from the Demo phase to Production.

Participating teams must start from real-world scenarios and, using AgentTeams as the foundation for collaborative design, build an end-to-end closed-loop task system comprising at least three Agents with different roles. They must fully demonstrate capabilities such as task decomposition, context passing, tool invocation, result verification, and the documentation of execution evidence, and encapsulate the key capabilities into reusable Skills.

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