GitHub 开源项目：849879772/recruitops-agent
这条开源项目动态已归入“智能体与工作流”方向，适合用来补充站内工具库、方案页和技术选型参考。阅读这类项目时，重点看它解决的任务是否清晰、文档是否完整、示例是否能跑通、许可证是否适合团队使用，以及后续维护是否稳定。原始仓库入口已保留在来源链接中，便于继续查看代码和发布记录。主要开发语言为 Python，这会影响二次开发和部署成本。当前 GitHub 关注度约 104 stars，可作为社区热度参考。
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3782历史快讯
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09 月 25 日
2026-09-25 快讯
GitHub 开发者博客：GitHub Copilot app for Beginners: How to build custom 工作流 with canvases
原文摘要：Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting 来源：GitHub 开发者博客。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
百个 AI Agent 协作写码：OpenClaw 展示研发自动化成本
原文摘要：Microsoft is splitting its Copilot app into three sections: Home, Code, and a new agent called "Autopilot." Built on OpenClaw, the agent runs continuously in the cloud, wh 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Perplexity Trains Its Computer Agent on Real Mistakes With Hint-Guided Self-Distillation
原文摘要：Perplexity Research published a new post-training study. It trains a model inside Perplexity Computer on real user sessions, including failed ones. The method pairs rejection sampl 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Meta's Muse agent gives every user a full cloud computer running Ubuntu Linux
原文摘要：Meta gives every Muse user a free cloud computer running Ubuntu Linux where they can install software, write code, and browse the web. A "Sentinel" process monitors sensit 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：From Agent Authorization to AI Production 评测: QCon AI New York 2026
原文摘要：QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the 评测 of AI systems after deployment. 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：Article: The Agent Harness: What It Is and Two Ways to Build One
原文摘要：This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Fastino Releases GLiNER2.5-Decide: A 340M Open-Weight Decision Model That Runs on CPU
原文摘要：Fastino Labs has released GLiNER2.5-Decide, a 340M-parameter open-weight decision model. It takes text and a schema of typed questions and returns structured answers. Each answer c 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。