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This article provides a technical breakdown of dsh-superagent-prototype, open-sourced by the DeepSeek Harness team, analyzing how a programming agent capable of continuously taking on orders handles authorization, task distribution, Worker scheduling, and interruption recovery based on transactions and persistent queues. The article emphasizes that this prototype is for research reference only, and is not an official DeepSeek product.
Microsoft's open-source Agent Framework has surpassed 14K stars, focusing on solving reliability issues for Agents in production environments. It supports multi-agent orchestration, checkpoint resume, human-in-the-loop approvals, OpenTelemetry observability, and is compatible with Python, .NET, and Go.
Anthropic 解释了 Claude Code 的新 Mods 功能：一个可编程的扩展层，允许开发者在 Claude Code 会话中直接运行 JavaScript/TypeScript 模块，以监听、拦截或改写 agent 行为，并渲染自定义终端 UI，使 Claude Code 逐步成为一个可编程的 agent runtime。
A practitioner shares lessons from a keynote Q&A on why Strands agents pick the wrong tools or call them in the wrong order, and writes up a practical guide with links and code snippets on how to fix tool selection and ordering issues.
OpenAI 将整套 Codex Harness 开源，包括 Codex CLI、Skill 和运行环境，方便开发者学习和构建 Agent，支持 npm、Homebrew 及多平台安装，并可接入 ChatGPT 订阅计划。
CEPO is a general framework for prompt optimization in multi-agent systems that separates shared system-level coordination from agent-specific execution prompts, consistently improving four existing prompt optimizers across 11 benchmarks in four domains.
SANE introduces an agent-based framework that automatically derives scorer-specific perturbation recipes and expected score relations for testing LLM judges, producing 3.7x more validated test families than the Judge Reliability Harness and achieving strong human alignment in judge ranking.
Vercel open sourced a fast HTML artifact builder powered by libfx that makes agents durable and helps v0 survive server crashes and flaky LLMs, now free and available on GitHub.
DecisionAct 是一个开源 Python 智能体框架，使用决策模型而非 LLM 生成回复，通过预定义意图、工具和结果来执行自然语言请求，支持多工具调用、会话记忆、检查点和人工审批等功能。
PortSimEnv 发布了详细实现细节，这是一个基于巴塞罗那港 2024 年 1,784 艘集装箱船靠泊记录构建的确定性强化学习环境，用于泊位规划任务，并基于 Scale AI 的 AgentEnv Framework 构建。
作者介绍了 DecisionLoop，一个用小型决策模型替代 LLM 处理意图识别、工具选择与控制流的 Python 智能体框架，初步测试在工具调用准确率、成本和延迟上优于基于 LangChain 的 LLM 智能体，并寻求架构反馈与基准测试建议。
Work2Skill 提出一个框架，通过 WorkRecorder 收集人类 GUI 操作演示，构建 WorkDemo-350 多模态数据集，并用智能体式技能归纳方法从人类经验中提炼可复用的智能体技能，在 MyPCBench 和 OSWorld-Verified 上显著提升了多种执行模型的任务表现。
Pi Durable 上线仅一周，社区已涌现出多种创意用法，包括将其封装进 iOS 应用（PiDurableKit）、在浏览器中完整运行核心、构建自研 Grok Bot，以及可能推出的 durable codemode 支持。
nanoMuse 是一个开源个人智能体（GPL-3.0），可在用户拥有的每台设备上运行，通过共享中继实现跨设备对话，所有操作经 Sentinel 审核，记忆以用户可读的文件形式存储，模型由用户自选。论文还分析了 Meta Muse 的构建方式，并规划了带来源的记忆、手部操作评估套件及开放模型的路线图。
ZipHQ rebuilt their agent on LangGraph + LangSmith, cutting development time for new features and gaining automatic tracing for LLM calls, storage, and context without writing code.
Agent Foundation (a13n) is an open-source, self-hosted library and platform that bundles managed agents, memory, sandboxes, computer use, and durable execution into a single foundation for building agent systems, from Docker-based local trials to integrated agent services.
LlamaIndex 发布 Extract v2.5，推出新一代基于 schema 的文档抽取 agent，可跨多页表格进行结构化推理并提供高级引用定位，在 ExtractBench 各档位上准确率与 grounding 分数均大幅提升，且每页定价不变。
yoagent is a new open-source Rust library for building tool-using LLM agents around a focused, stateless agent loop, supporting seven native provider protocols and mid-run control without requiring a full agent platform stack.
Sydney Runkle introduces a new LangGraph feature: interrupts with typed response schemas, allowing human responses to be validated before being passed back to the agent and enabling real response forms in UIs instead of raw JSON input.