Pocket Flow:一个仅 100 行代码的 LLM 框架。让 Agent 构建 Agent!Pocket Flow: 100-line LLM framework. Let Agents build Agents!
仓库/Skill 库
166 个 · Agent 智能体 · 框架
面向全栈开发者的 66 个专业 Skill,将 Claude Code 打造为你的专家级结对编程伙伴。66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
全栈 MCP 框架,用于开发面向 ChatGPT / Claude 的 MCP Apps 以及面向 AI Agent 的 MCP Servers。The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
基于 Ray 的易用、可扩展、高性能 Agentic RL 框架(PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Omnigent 是一个开源 AI agent 框架与元 harness:编排 Claude Code、Codex、Cursor、Pi 及自定义 agent——无需重写即可替换 harness,强制执行策略与沙箱化,并支持任意设备实时协作。Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
FinRobot:基于 LLM 的开源金融分析 AI Agent 平台 🚀 🚀 🚀FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
灵活而强大的框架,用于管理多个 AI agent 并处理复杂对话。Flexible and powerful framework for managing multiple AI agents and handling complex conversations
数分钟内(而非数月)将 AI Agents 部署到 Google Cloud。提供生产就绪模板,内置 CI/CD、评估和可观测性。Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
用于构建 agentic apps 的开源框架,支持 JavaScript、Go、Dart 与 Python,由 Google 在生产环境中构建并使用。Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
AI 原生网络安全的执行系统——意图转化为受治理的执行,证据成为可运营的记忆,每一次操作都让下一次更优。The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
下一代 AI Agent 优化平台:Cozeloop 提供从开发、调试、评估到监控的全生命周期管理能力,解决 AI agent 开发中的挑战。Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
用于构建复杂创新 RAG 流水线的低代码 MCP 框架A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
用于构建 AI agent 的企业级 AI 开发框架。它提供多 provider LLM 的统一管理、具备高精度检索的安全企业知识库、可视化工作流编排与多 agent 协作。兼容主流 Agent Skill 标准,使开发者能够高效构建生产级 [原文未完整]。An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra
ZenML 🙏:从 Pipeline 到 Agent 的一站式 AI 平台。https://zenml.ioZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
自主红队平台;多 Agent 攻击性安全元框架autonomous red teaming platform; multi-agent offensive-security meta-harness
你正在读这段文字,skill 已经预测到了。一个把每条帖子转化为校准实验的工作流——打分、盲预测、复盘、迭代。未来不奖励努力,只奖励先看见模式的人。一个月 100 万粉丝——不是运气,是系统。You're reading this. The skill predicted it. A workflow that turns every post into a calibrated experiment—score, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month — not luck, system.
面向 LLM 评估和 AI agent 测试的平台The platform for LLM evaluations and AI agent testing
AGiXT 是一个动态 AI Agent 自动化平台,无缝编排跨多个 AI provider 的指令管理和复杂任务执行,结合自适应记忆、智能特性与可扩展插件系统,提供高效全面的 AI 解决方案。AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
Laminar —— 专为 AI agent 打造的开源可观测性平台,YC S24。Laminar - open-source observability platform purpose-built for AI agents. YC S24.
由蓝图驱动的 AutoResearch 运行时,用于编排 AI 科研工作流,涵盖创意生成、实验、论文写作与同行评审。A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
几乎可视为 DSPy 在 TypeScript 上的"官方"框架。The pretty much "official" DSPy framework for Typescript
开源 AI 工程平台:基于 OpenTelemetry 的 LLM 可观测性、GPU 监控、guardrails、评估、prompt 管理、Vault、Playground。🚀💻 集成 50+ LLM provider、VectorDB、agent 框架与 GPU。Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
用于构建、测试与部署生产级 MCP server 与 AI-native 应用的全栈 TypeScript 框架。The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
Agent 团队的聚集地。跨平台团队聊天工具,AI Agent 作为一等队友 — 支持云端大脑或自带大脑(Claude Code / Codex)。Where agent teams gather. Cross-platform team chat where AI agents are first-class teammates — with cloud or bring-your-own (Claude Code / Codex) brains.
One Forge, All Skills: A curated skill collection for academic writing and research. 点开即用,按需配置的一站式学术研究skills平台。
用于构建生产级Agent系统的Go框架,涵盖图工作流、工具、记忆、A2A、AG-UI、MCP、评估与可观测性A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
开源、端到端的 LLM 与 AI agent 应用评估、观测与改进平台。Tracing · Evals · Simulations · Datasets · Gateway · Guardrails。可自托管,Apache 2.0 许可。Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
一个使用模拟的、真实的合成交互对 Agent 进行全面诊断和优化的框架。A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions
Second Brain 是一个 Agentic 框架,作为操作系统运行,利用本地文件智能、工作流自动化和 LLM 来完成任务,并通过多种模态和消息平台进行通信。Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
跨技术栈的 Claude Skills,覆盖网站全生命周期:品牌、设计、内容、SEO、开发、运维、增长与研究。支持构建、发布、审计、优化。Stack-agnostic Claude Skills covering the full website lifecycle: brand, design, content, SEO, dev, ops, growth, and research. Build, ship, audit, optimize.
Kelos——面向自主 AI 编程 Agent 编排的 Kubernetes 原生框架。Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.