hotai.newsStatistics as of Beijing time on October 22, 2026. The main leaderboard's daily new stars are estimated by linear interpolation based on official GitHub Stars snapshots across the Beijing timezone boundary. Official Stars were rechecked at 08:39 Beijing time on October 23, 2026; the candidate list for the 'New' section was sourced from an official search snapshot taken at 08:10 Beijing time. Cumulative stars for new repositories do not falsely represent yesterday's star gains.
Enable agents to analyze application behavior, graphical interfaces, and native binaries to complete evidence-based reverse engineering.
Notable: Approximately 8,900 new users added in a row, maintaining high growth rates for consecutive days; CLI, MCP, and local analysis capabilities address the needs of advanced developers.Wirelessly debug and remove bloatware from Android and Google TV pre-installed apps, replacing them with a lightweight home screen.
Notable: Approximately 5,800 new users added in a row, with sustained growth over multiple days; several TVs featuring ad-free homepages gained popularity during the same week, signaling a clear trend toward device customization.A distributed inference framework for DeepSeek large models, optimizing throughput, latency, and multi-hardware deployment.
Notable: ~3,300 increase; growth over two days in the thousands as the DeepSeek inference framework opensource drives infrastructure attention.Provides minimal implementation-focused engineering skills for coding agents to reduce over-engineering and unnecessary changes.
Notable: ~1,900 increase; engineering agent skills remain in high demand, while multi-client adaptation broadens use cases.Parallelize scheduling of various coding agents and their tasks across desktop, mobile, and remote environments.
Notable: ~1,500 increase; multi-agent execution has expanded from command-line to cross-device parallel processing, with a clear product form factor.Locally complete a multilingual workspace for voice cloning, design, dubbing, transcription, and audiobook production.
Notable: ~1,400 increase; local voice cloning and transcription integrate multiple creation workflows, reducing reliance on the cloud.Transform code, documentation, and database schemas into queryable knowledge graphs for coding agents to access.
Notable: approximately +1,300; local AST knowledge graphs bypass vector databases, focusing on agents' understanding of large codebases.Organize agent skills tailored to real-world software engineering workflows, spanning requirements to code delivery.
Notable: approximately +1,100; engineering skill sets continue to grow, reflecting the spread of general-purpose coding agent workflows.Provides an ad-free homepage and app launch experience on Google TV that can be revoked.
Notable: ~800 increase; rising alongside similar projects like CleanYourTV, TV homepage overhauls are forming a small trend.Describe scenes in HTML and render video, allowing coding agents to directly participate in animation production workflows.
Notable: ~800 increase; connecting agent development to final rendering via HTML keeps generative video tools hot.Generate native PowerPoint presentations from documents or topics, featuring charts, animations, and user templates.
Notable: ~750 increase; combining editable shapes, data charts, and templates brings AI office outputs closer to formal delivery standards.Create isometric illustrations of machines and complex systems using agent skills, outputting SVG and WebGL effects.
Notable: ~730 increase; agents generate interactive technical illustrations, keeping SVG and WebGL visual creation trending.An open-source coding agent that runs in the terminal, understands codebases, and executes development tasks.
Notable: ~620 increase; open-source terminal coding agents show steady growth, with local development workflows remaining in focus.Construct diffusion model workflows using node diagrams, supporting image generation, inference, and local execution.
Notable: ~600 increase; node-based generation remains a high-activity infrastructure for creators as the model ecosystem continues to expand.A skill framework and development methodology for coding agents, covering planning, implementation, and verification workflows.
Notable: ~570 increase; agent skills and engineering methods continue to gain adoption, covering the entire workflow from planning to implementation.Convert ideas, plans, or codebases into interactive architecture diagrams compatible with multiple coding agents.
Notable: ~570 increase; automated structural diagrams make agent outputs more readable, driving strong demand for visualizing system design requirements.Provide design language and interface guidelines for coding agents to improve visual consistency in generated UI.
Notable: ~560 increase; generative interfaces require design guidelines and aesthetic constraints, addressing the need for UI-assisted development.Access a suite of editorial infographic templates that export as self-contained HTML and SVG files.
Notable: ~530 increase; support for various diagrams and portable export formats makes it easier for agents to generate content ready for delivery.Build a parameterized 3D CAD tool in Rust, supporting both web interfaces and MCP automation.
Notable: ~500 increase; Rust CAD and MCP integrate parametric modeling into agent automation, offering a novel direction.Open-source workspace for managing teams of AI agents, centralizing task assignment, workflows, and collaboration.
Notable: ~470 increase; AI team management has evolved from single conversations to task and workflow orchestration, showing a clear productization trend.