As a China-originated, global open-source AI Work OS, iPolloWork focuses on OPCs (One Person Companies), entrepreneurs, and small innovative teams, driving AI from chat and single-generation tasks toward task execution, collaboration, and outcome delivery.Article author and source: iPollo
On September 2, Bolo Zhiyun (Zhejiang) Technology Co., Ltd. officially launched its iPolloWork OPC Open Collaboration Platform at the "iPollo·2026 Global OPC Open Collaboration Conference" held at Pinghe·in OPC Community, Jiuan Square, Dongcheng District, Beijing. As a China-originated, globally oriented open-source AI Work OS, iPolloWork focuses on OPCs (One Person Companies), entrepreneurs, and small innovative teams, driving AI beyond chat and single-generation tasks toward task execution, collaborative work, and outcome delivery.
Leaders from Dongcheng District, Kong Jianping, Director of Hong Kong Science Park and Chairman & CEO of Nano Labs, Wang Yu, CEO of iPollo, Zhang Henggui, Chief Scientist of the Beijing Academy of Artificial Intelligence, and over a hundred representatives from Yunzhisheng, Nano Weiheng Qiyuan, universities, investment institutions, and OPC companies attended the conference.
“When models and agents generally begin to acquire execution capabilities, the core focus of the next stage will no longer be merely having AI complete individual tasks, but rather how to orchestrate, supervise, and continuously evolve an AI team,” said Wang Yu in his announcement. iPolloWork is not a single agent, but an open-source AI Work OS designed for OPCs and enterprises.
iPolloWork features an integrated interface with “left-side conversational collaboration and right-side outcome workspace”: users define goals, add requirements, and continuously guide the AI on the left, while outputs such as code, documents, presentations, websites, designs, and videos are generated and displayed in real time on the right. Unlike traditional AI tools that deliver static results, users can either request further iterations through conversation or directly perform WYSIWYG visual edits on the generated outputs—precisely adjusting text, data, styling, layout, and components. All AI modifications and human edits are applied to the same underlying output.
The platform connects various models, agents, skills, MCP services, and specialized tools through an open Harness access layer, enabling task orchestration, human-machine collaboration, process governance, and deliverable output within a unified workspace, creating a complete workflow loop from “idea generation” to “result delivery” and from “collaborative revision” to “final delivery.”
After a user sets a goal, iPolloWork can coordinate multiple AI agents to concurrently conduct research, writing, analysis, and execution, delivering tangible, editable outputs such as code, documents, presentations, websites, designs, and videos. The user remains fully in control—setting goals, making judgments, reviewing work, and granting approvals—and can inspect, modify, or take over at any time. The platform’s “Variable Output Protocol” enables key variables to be tracked, locally adjusted, and consistently maintained across outputs, transforming AI delivery from “regeneration” to “precise modification.”
The open-source community has rapidly validated the product. According to public data and project statistics, as of September 2, 2026, after four weeks in the public open-source environment, iPolloWork has garnered over 5.3K GitHub stars, 976 forks, and more than 500,000 developer visits, and has appeared on the global trending list twice. The platform maintains open compatibility with leading models, cloud platforms, toolchains, and open-source infrastructure, and is actively connecting and collaborating with technology ecosystems including OpenSSF, OPEA, NVIDIA, Cloudflare, Microsoft, Alibaba Cloud, and DeepSeek Harness. The developer network is expanding from China to Silicon Valley, Hong Kong, and global tech communities.
Built on an open-source foundation, Boluo Zhiyun has developed a layered implementation strategy: supporting developers through an ecosystem of contributors, Skills, plugins, and MCP; providing enterprises with commercial licensing, technical services, private deployment, and data-controlled solutions; and empowering industrial parks and OPC communities with tool access, co-creation of use cases, project validation, developer events, and industry resource connections—creating a replicable community empowerment model.
The conference simultaneously launched the first batch of community use cases for iPolloWork. The Pinghe·in OPC community will serve as a key inaugural and long-term implementation site for iPolloWork in Beijing. Bolo Cloud will provide eligible resident companies, entrepreneurs, and OPC teams with AI productivity tools, technical services, and corresponding commercial licensing rights, supporting projects from requirement analysis and collaborative development to deliverables and commercial validation.
Building on its collaborative foundation with Hong Kong universities, research institutes, and Hong Kong Science Park, the conference hosted the unveiling ceremony of the Beijing-Hong Kong OPC Open Innovation Collaboration Center. The center, jointly promoted by iPollo and the Peace·in OPC community, with Peace·in serving as the Beijing implementation platform, will establish a long-term collaboration mechanism focused on scenario openness, joint project development, developer cultivation, two-way enterprise localization, investment and financing, and international market expansion.
During the conference, Zhang Henggui delivered a keynote talk on "Principle- and Data-Driven Construction and Application of Digital Hearts," offering new perspectives on AI's evolution from "for Work" to "for Science." Microheng guests shared practical pathways for empowering OPC and novel intelligent organizations with inclusive AI computing power. Roundtable participants also engaged in discussions on scenarios, tools, and ecosystems in the age of AI.
In the future, Pineapple Cloud will continue to enhance its contributor mechanism, development toolchain, and global community nodes, enabling more models, agents, skills, and professional tools to join iPolloWork. We will collaborate with governments, industrial parks, communities, universities, and enterprises to build real-world scenarios, allowing developers’ capabilities to be reused globally and every delivery to accumulate as organizational capability, empowering more entrepreneurs with a collaborative, evolving, and deliverable AI team.