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🧰 The Rise of Agent Harness Frameworks and Harness As a Service (Haas) The harness is now the product or service?. Why a great harness beats a better model and how Flue, PyFlue, and HaaS are changing agent development in 2026. ⚡️ Google, OpenAI, Anthropic, Langchain, ArizeAI are talking actively about the Harness Engineering. 📙Read the full post: super-agentic.ai/resources/s… 🌉 Join the conversation at our Harness Engineering event in San Francisco → luma.com/rtd0f6ka #AgenticAI #HarnessEngineering #AI
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Replying to @Vtrivedy10
Yes, this is cool article and especially came from Google. Spotted mention of the Flue at the end, Flue is inspired by the previous version of this article.. I am trying to adopt those ideas PyFlue
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This is one of the best article, I came across on Agent Harness Engineering from @addyosmani .. Need to read his articles as Flue: The Agent Harness Framework Inspired by this also want to adopt the ideas into PyFlue BTW PyFlue of Python port of Flue. PyFlue: The Python-native agent harness framework. super-agentic.ai/pyflue
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Replying to @addyosmani
Thank you Addy. One of the best article on the Agent Harness Engineering. Also love the mention of the Flue Agent Harness Framework, Got inspired by Flue and built Python port of it for 🐍 AI/ML ecosystem, I will adopt the techniques mention here in PyFlue github.com/SuperagenticAI/py…
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🎉 PyFlue v0.1.3 is here! Harness Engineering is all over the world. Flue from @FredKSchott getting lot of traction nowadays so we ported it to Python developers. PyFlue just got major upgrades: • Full MCP support (Direct Search/Execute) • Rich sandbox filesystem APIs • PyFlueClient for server architectures • Structured commands, session cancellation, auto-compaction & more Python-native agent harness with sandboxing, skills in Markdown, and production deployment tools. Try it now → github.com/SuperagenticAI/py… #PyFlue #AgenticAI #Python #AIHarnesses
🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott @FredKSchott CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 Harness 🧰 Memory 🧠 Almost all the feature of Flue plugged with @LangChain Deepagents harness built by @hwchase17 and team @Vtrivedy10 @sydneyrunkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : super-agentic.ai/pyflue ⭐️ GitHub: github.com/SuperagenticAI/py… 📚Docs: superagenticai.github.io/pyf… 📙 Blog Post: super-agentic.ai/resources/s… #HarnessEngineering #AgentHarnesses
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为 Python 团队提供一套完整的 agent 构建框架,把技能定义、沙盒执行、结构化输出、会话状态和部署打包在一起。 github.com/SuperagenticAI/py… PyFlue 把 Flue 的思路搬到了 Python:技能写 Markdown 文件,会话有状态可恢复,文件操作和 shell 在沙盒里跑,输出用 Pydantic 校验,事件能流式推送,agent 还能直接当 webhook 服务跑起来。
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🗺️ Harness engineering is becoming the product boundary: "switching model providers is easy. switching harnesses isnot." @hwchase17 @AnthonyMaio: Whoever owns how repo state gets compressed into the attention window owns the developer. regardless of model. this week alone: PyFlue, LangGraph v1.2, deepagents-cli, and Hermes Kanban all shipped. different tools, same thesis. startup signal: model-agnostic harness tooling, context pipeline infra part of today's InnoFlow brief → innoflows.net/ via @hwchase17 @AnthonyMaio @Shashikant86 @sydneyrunkle @masondrxy @Vtrivedy10 @naroh @Teknium @LangChain
switching model providers is easy switching harnesses is less so model providers want to lock you in via harness we need open harnesses!
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1. Codex /goal 上线 OpenAI 把“Ralph Loop”自 runner 模式产品化,YC CEO Garry Tan 三天跑了 13 次。模型军备竞赛之外,真正的变量开始浮出水面。 2. Harness 工程成行业共识 LangChain CEO 发推说“同一模型在不同框架表现截然不同”,Python 原生 harness 框架 PyFlue 也在同一天发布。这条信号比任何单点新闻都更影响长期走向。 3. Anthropic 联手顶级私募 与 Blackstone、H&F、Goldman Sachs 成立企业 AI 服务公司,Claude 商业化从 API 调用转向深度企业交付。 如果只记一句: AI 竞争的胜负手,正在从模型层转向它上面的那一层。
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pyflue for python agents. programmable harness cuts diy plumbing but integrating test evals into those flows is key for reliability
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Replying to @hwchase17
Thank you Harrison for Deepagents.. Such a cool harness (combination of agent framework coding agent) to play with Flue .. It was no brainer to pick Deepagents to support in PyFlue. Will dive deeper ..
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🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott @FredKSchott CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 Harness 🧰 Memory 🧠 Almost all the feature of Flue plugged with @LangChain Deepagents harness built by @hwchase17 and team @Vtrivedy10 @sydneyrunkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : super-agentic.ai/pyflue ⭐️ GitHub: github.com/SuperagenticAI/py… 📚Docs: superagenticai.github.io/pyf… 📙 Blog Post: super-agentic.ai/resources/s… #HarnessEngineering #AgentHarnesses
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