萨里大学 2026 年 9 月理学硕士论文《PRISM:Agentic AI 闭环科学写作》的日志、prompt 与支撑材料追踪。OpenAI PRISM 闭环工作流,加入对抗性红队/蓝队同行评审层,由非领域操作员应用于三个代谢组学数据集。Trace logs, prompts and supporting materials for the MSc dissertation "PRISM: Agentic AI Closed-Loop Scientific Writing", University of Surrey, September 2026. OpenAI PRISM closed-loop workflow with adversarial red team / blue team peer review layer, applied to three metabolomics datasets by a non-domain operator.
仓库/Skill 库
1058 个 · Agent 智能体 · 应用
Conversational academic writing Copilot: LangGraph ReAct agent with citation tracing, faithfulness reviewer, RAG & Reflexion LaTeX self-repair | 对话式学术写作 Copilot:LangGraph ReAct 智能体,引用溯源 + 忠实度审校 + RAG 检索 + Reflexion 编译自修复,端到端产出真实 PDF
一个开源的 Agentic 开发环境:在终端网格中并行运行 Claude Code、cursor-agent、Codex 与 shell,配合用于任务分派的看板、共享 Agent 记忆以及多 Agent 编排能力。An open-source agentic development environment: run Claude Code, cursor-agent, Codex and shells side by side in a terminal grid, with a kanban board that dispatches them, shared agent memory, and multi-agent orchestration.
用于生物学研究问题的科学研究 Agent。Scientific Research Agent for biological research questions
3D 记忆岛屿,让 Google ADK agent 将你的记忆保存为有据可查的书:基于 Gemini on Vertex AI、Firestore、Pub/Sub 的 dreaming 机制构建知识图谱与 dark keepers,配合 Cloud TTS/STT 语音。All Things Agentic Hackathon 参赛作品。3D memory island where Google ADK agents keep your memories as grounded books: Gemini on Vertex AI, Firestore, Pub/Sub dreaming that builds a knowledge graph and dark keepers, Cloud TTS/STT voice. All Things Agentic Hackathon entry.
基于证据的构建流水线,编排 10 个 AI 子 Agent,并通过确定性 5 道关卡验证系统证明正确性。Evidence-based build pipeline that orchestrates 10 AI sub-agents and proves correctness through a deterministic 5-gate verification system.
AI 驱动的每周生活规划器 — 由多供应商 Agent 生成饮食、学习、锻炼、习惯和娱乐方案,并附带每周日程追踪。AI-powered weekly life planner - nutrition, study, workouts, habits and fun generated by a multi-provider agent, with a weekly schedule tracker.
基于 Next.js、FastAPI 和 Supabase 的 AI 辅导应用。上传 PDF 与 URL,即可生成结构化摘要、多轮对话和自定义测验。自定义主题通过 Wikipedia、ArXiv 和 DuckDuckGo 进行联网搜索,以生成测验并围绕主题展开对话。Next.js AI tutor with FastAPI and Supabase. Upload PDFs and URLs to generate structured summaries, multi-session chat, and custom quizzes. Custom topics use web search through Wikipedia, ArXiv, and DuckDuckGo to generate quizzes and chat about the topic.
基于 LangGraph 的 AI Agent,分析上市公司季度财报,利用 SEC 文件与结构化财务数据,帮助用户回答限定范围内的投研问题。A LangGraph-based AI agent that analyzes public company quarterly earnings reports and helps users answer a limited set of investment-research questions using SEC filings and structured financial data.
面向 LLM agent 的 MCP server,用于加拿大调整后成本基础(ACB)与资本利得:支持平均成本法与 superficial-loss 检测。MCP server for Canadian adjusted cost base (ACB) and capital gains: average-cost, superficial-loss detection, for LLM agents.
NEXORA 的黑客松团队仓库 - [hackindia-team:ai-first-startup-hackathon-build-a-startup-using-ai-only:nexora]Hackathon team repository for NEXORA - [hackindia-team:ai-first-startup-hackathon-build-a-startup-using-ai-only:nexora]
Codiacs 黑客松团队仓库 - [hackindia-team:ai-first-startup-hackathon-build-a-startup-using-ai-only:codiacs]Hackathon team repository for Codiacs - [hackindia-team:ai-first-startup-hackathon-build-a-startup-using-ai-only:codiacs]
Local-first 可视化任务图,使人类与 AI Agent 在目标、进度、推理与下一步行动上保持对齐。Local-first visual task graph that keeps humans and AI agents aligned on goals, progress, reasoning, and the next action.
隐私优先的本地 Web 研究 MCP server,集成 SearXNG、隔离 Tor 路径、证据抽取、排序与精确引用。Privacy-first local web research MCP server with SearXNG, isolated Tor paths, evidence extraction, ranking, and exact citations.
一个真实场景下的多能力 AI Agent,可接收用户的研究问题,自主决策所需信息,调用工具/MCP,分析信息并产出结构化报告。A real world multi capability AI agent that can take a user's research question, decide what it needs, use tools/MCP, analyze information, and produce a structured report.
由 5 个 AI Agent 协同的 pipeline,自动回答研究问题。可类比为聘请 5 位专家:规划员、资料员、记录员、事实核查员与撰稿人。A pipeline of 5 AI agents that work together to answer a research question autonomously. Think of it like hiring 5 specialists: a planner, a librarian, a note-taker, a fact-checker, and a writer.
在真实 MCP 客户端上对 Remote MCP 服务器进行实时互操作性测试。Live interoperability testing for Remote MCP servers across real MCP clients.
本地优先的研究论文工作空间与可视化 AI Agent 工作流构建器Local-first research paper workspace and visual AI agent workflow builder
面向 AI Agent 调试 Android React Native/Expo 应用的本地运行时可观测性桥接层——以证据为先:截图、UI 树、逐请求网络数据、FPS、React 渲染、CDP console/heap/profile、确定性诊断、前后对比。Local runtime observability bridge for AI agents debugging React Native/Expo apps on Android — evidence-first: screenshots, UI trees, per-request network, FPS, React renders, CDP console/heap/profile, deterministic diagnosis, before/after compare.
为 AI agent 搭建团队知识仓库——集中领域知识、工作流与规范,供 agent 消费、基于其开发,并通过 PR 循环持续保鲜。Scaffold team knowledge repos for AI agents — centralize domain knowledge, workflows, and specs that agents can consume, develop with, and keep fresh via PR loops.
Athleta 工程案例研究——一款 AI 健身产品,采用每用户一个知识图谱的设计,由 Agent 提议、用户确认。Engineering case study of Athleta, an AI fitness product with a per-user knowledge graph where the agent proposes and the user confirms.
面向 AI Agent 的学术研究情报——论文检索、科学文献、引用分析、arXiv、作者指标、前沿研究与语义相关工作(pgvector)。支持 MCP + x402。Academic research intelligence for AI agents — paper search, scientific literature, citation analysis, arXiv, author metrics, trending research & semantic related-work (pgvector). MCP + x402.
基于 Hermes 的原生 AI 工作台,通过专业 Agent 与 Skill 完成经人工审核的精炼工作。A Hermes-native AI workshop for crafted, human-approved work through specialist agents and skills.
fold:企业级 MCP gateway——在任意 MCP 客户端与 MCP server 之间提供统一的受控端点,支持联邦、鉴权、策略、限速、缓存与审计。fold: the enterprise MCP gateway — one governed endpoint between every MCP client and every MCP server. Federation, auth, policy, rate limiting, caching, audit.
自主规约驱动的开发,通过确定性工程循环编排隔离的 Oh My Pi 编程 Agent。Autonomous spec-driven development, orchestrating isolated Oh My Pi coding agents through deterministic engineering loops.
Fiberarticle 是一个 Agentic AI,可自主开展研究、执行文献综述并撰写可发表级的论文Fiberarticle is an Agentic AI that researches, performs literature reviews, and writes publication-ready article papers.
在用户发现之前,证明你的 MCP App 能在各个宿主上正常运行Prove your MCP App works across hosts before your users do
面向精确 MCP 能力发现、有界调用与提供者效应验证的 Agent Skill。Agent Skill for exact MCP capability discovery, bounded invocation, and provider-effect verification
为你的 AI 应用提供本地优先的课程上下文:同步你的课程,并通过 MCP 提供给 Claude / ChatGPT / Codex。只读,以学习为先。Local-first course context for your AI app: sync your courses, serve them over MCP to Claude / ChatGPT / Codex. Read-only, learning-first.
面向 AI Agent 的本地网页搜索代理与缓存。兼容 Exa 的 HTTP API + MCP,DuckDuckGo 后端,SQLite TTL。Local web-search proxy and cache for AI agents. Exa-compatible HTTP API + MCP, DuckDuckGo backend, SQLite TTL.
面向 AI Agent 的本地网页搜索代理与缓存。提供与 Exa 兼容的 HTTP API + MCP,RSS 内存占用低于 30MB。Local web-search proxy and cache for AI agents. Exa-compatible HTTP API + MCP, under 30MB RSS.
开源数字全息显微镜(DHM)工作站:离轴全息重建、定量相位成像、自动对焦,以及基于经典 + CNN 混合管线的无参考相位检索。PySide6 GUI,可选 Apple Silicon MLX 加速,并提供面向 AI Agent 的 MCP server。Open-source digital holographic microscopy (DHM) workstation: off-axis hologram reconstruction, quantitative phase imaging, autofocus, and reference-free phase retrieval via a hybrid classical + CNN pipeline. PySide6 GUI, optional Apple Silicon MLX acceleration, and an MCP server for AI agents.
面向 AI agent 的技能经济协议——涵盖身份、信誉、托管与治理,已上线 Casper Testnet(Odra)与 Stellar Testnet(Soroban ZK)。Agentic skill-economy protocol for AI agents — identity, reputation, escrow, and governance, live on Casper Testnet (Odra) and Stellar Testnet (Soroban ZK).