China AI Native Industry Insights – 20261015 – Alibaba | OpenBMB | Qoder | more

Alibaba’s AntLingAGI, OpenBMB, and Qoder take center stage in today’s digest with their significant contributions to the open-source AI community. The overarching theme today is the expansion and democratization of AI agent capabilities, providing more flexibility and accessibility for developers. AntLingAGI’s open-sourcing of Ling-3.1-flash features an impressive 560 billion parameters and a 1 million context window, which marks a notable advancement in model capabilities. Meanwhile, Qoder’s new custom Agent and Agent Team features empower individual users to tailor their AI interactions more precisely to their needs. Discover more in Today’s China AI Native Industry Insights.

1. Alibaba’s AntLingAGI open-sources Ling-3.1-flash with 560B parameters and 1M context window

AntLingAGI, part of Alibaba’s Ant Group AI efforts, has open-sourced Ling-3.1-flash, a large language model with roughly 560 billion total parameters and about 25 billion active parameters per token. The model supports a context window of up to 1 million tokens. It is designed for practical use cases, able to turn a rough brief into a webpage, mobile UI, or interactive prototype for teams to review. A demo was shared alongside the announcement.
Read more: https://huggingface.co/inclusionAI/Ling-3.1-flash

Video Credit: @AntLingAGI on X

2. OpenBMB and Tsinghua THUNLP Release Open-Source AI Agent Harness PilotDeck 2.0

OpenBMB, Tsinghua THUNLP, ModelBest, and AI9Stars released PilotDeck 2.0, an open-source, model-agnostic AI agent operating system that executes natural language instructions with transparent data flows. The update adds end-to-end office document handling for Word, Excel, and PowerPoint, more reliable execution of long-running tasks stress-tested across 2,000 interaction messages, and a one-click desktop installer. On the WorkBuddy Bench benchmark, PilotDeck scored 79.1 using the Qwen3.6-35B-A3B model, outperforming WorkBuddy’s 74.7 and Claude Code’s 77.3. The project remains fully open-source, letting users choose their own underlying models.
Read more: https://github.com/OpenBMB/PilotDeck

Video Credit: @OpenBMB on X

3. Qoder releases custom Agent and Agent Team features for individual users

Qoder has opened its Agent and Agent Team features to individual users, allowing them to configure custom AI agents with specific responsibilities, work requirements, and available tools. Users can create specialized agents for tasks like competitive research or code review by combining skills, MCP data sources, and plugins. For complex tasks requiring multiple roles, users can form agent teams led by a Leader agent that coordinates work across members, each operating in separate conversation contexts to manage complexity and reduce context window burden.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247493374&idx=1&sn=ab854f04301e1d182cf0708d0a191f91&chksm=97c9186d231cbe026c870043a7ad34188d06d3a9f5625f799fea1fbe4f8177e21e7174629924&scene=0&xtrack=1#rd

Video Credit: The original article

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