开源推理服务器与生产级集群,支持 Agent 所需的全部模型Open-source inference server and production cluster for all the models your agent needs.
仓库/Skill 库
549 个 · Agent 智能体 · AI 核心
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.
构建可自主决策的应用(chatbot、agent、simulation 等)。支持在你的基础设施上进行监控、追踪、持久化与执行。Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
🏕️ 为开发者和 Agent 提供可复现的开发环境🏕️ Reproducible development environment for humans and agents
统一管理 MCP Server 的应用(MCP Manager)。A Unified MCP Server Management App (MCP Manager).
原生支持 Agent 的机票与酒店搜索与预订 —— 提供 MCP server、CLI 以及 Python/JS SDK。覆盖数百家航空公司及主要预订平台,并附带每趟航班的可靠性历史。免费取消的酒店房价:先以小额预付款锁定房间,后续可通过链接在酒店截止日期前支付余款。Agent-native flight & hotel search and booking — MCP server, CLI, and Python/JS SDKs. Hundreds of airlines plus the major booking sites, with per-flight reliability history. Free-cancellation hotel rates: hold the room with a small upfront charge, then pay the balance later by link, up to the hotel's own deadline.
潜入 Shell 的幽灵。Ante 是一个自包含的 Agent 框架,核心高度优化。体验类似 Claude Code 或 Codex,但无其依赖与模型限制。Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.
WFGY 正迈向 WFGY 5.0 Polaris Protocol,面向 AI reasoning、RAG、agents 与真实工作流的重要开源版本,包含 Problem Map、Global Debug Card、WFGY 4.0 与 CFV Easter EggWFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
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.
[GenAI 应用开发框架] 🚀 快速轻松构建 GenAI 应用 💬 在代码中使用结构化数据和链式调用语法与 GenAI Agent 交互 🧩 使用事件驱动的 *TriggerFlow* 管理复杂的 GenAI 业务逻辑 🔀 无需重写代码即可切换任意模型[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
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
社区最全面、持续更新的 LLM 软件漏洞检测研究索引——涵盖函数级、仓库级、Agent 级以及智能合约检测方向的论文,并附数据集、基准和综述The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
基于自主编码 Agent 的开源自动研究系统。运行 Claude Code、OpenCode 与 Codex,具备评分、共享知识与多 Agent 进化功能。被 COLM 2026 接收。Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
从零开始构建 LLM 驱动的多 Agent 应用Building LLM-Enabled Multi Agent Applications from Scratch
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.
论文"LAMBDA: A large Model Based Data Agent"的官方仓库。https://www.polyu.edu.hk/ama/cmfai/lambda.htmlThis is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html
Athena 是一个本地优先的 agentic PKM,借助你自己的上下文帮助你做出更优决策——持久记忆、结构化推理,以及跨任意 LLM 工作的受治理 AI agent。拥有状态,租用智能。Athena is a local-first agentic PKM that helps you make better decisions with your own context — persistent memory, structured reasoning, and governed AI agents that work across any LLM. Own the state. Rent the intelligence.
一款惊艳的、本地化的通用 AI Agent,适用于 Android、iOS 和 Mac。| Aether 扶摇A stunning, localized, general-purpose AI Agent for Android, iOS & Mac. | Aether 扶摇
繁体中文(zh-TW)的语言学 linter。A linguistic linter for Traditional Chinese (zh-TW)
Caura(前身 MemClaw)——面向 AI Agent 集群的受治理共享内存。多 Agent、多租户、原生 MCP。支持信任分级、keystone 策略、审计日志、知识图谱、自改进检索。Apache 2.0。Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
面向 AI Agent 的上下文工程。token 消耗减少约 80%。解决工具过载问题。内置进程内 BM25 与语义检索的 Skill 与 memory。支持渐进式披露(Progressive Disclosure)。无需向量数据库。Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
生产级 Go SDK,用于构建具备长期记忆、知识检索与语音能力的 AI agent,可作为库、守护进程或实时管道运行。Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.
一款 MCP,让 AI 工具安全连接基础设施、编写 IaaS 代码、调试问题并在故障中提供协助,且不危及生产稳定性。专为安全团队审批而设计,为基础设施团队带来如魔法般的体验。An MCP that lets AI tools securely connect to your infrastructure, write IaaS code, debug issues, and assist during incidents - without risking production stability. Built for security teams to approve and infrastructure teams to experience like magic.
Pi Coding Agent 扩展的 TypeScript monorepo,涵盖自动化、规划、语言工具、浏览器控制、网络研究、Git 工作流和配置同步。A TypeScript monorepo of Pi Coding Agent extensions for automation, planning, language tooling, browser control, web research, Git workflows, and configuration sync.
Vibe-Coding 很简单,DevOps 很难。OpenCode 与 Git 的 token 高效 AI agent 自动化,面向应用、商业和个人开发。面向速度、安全性和 7×24 效果的强势工具、服务、CLI 和 API 技术栈。开源优先,处处 SOTA。在你的仓库上试用,体验赚钱魔力。Vibe-Coding is easy. DevOps is hard. OpenCode & Git token-efficient AI agent automation for your app, business, and personal development. Opinionated tools, services, CLI & API stack for speed, security, and 24/7 results. Open-source first. SOTA everything. Try on your repos for money-making magic.
将本地文件转化为 AI Agent 可检索的上下文。Turn local files into searchable context for AI agents.
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.
一种极简的硬件-软件架构,为大语言模型提供具有自感知回路的闭环物理具身。A minimal hardware-software architecture giving large language models a closed-loop physical embodiment with self-perception loops.
你的主动式个人 AI 助手与日常生产力伙伴 🌎Your proactive personal AI assistant & companion for daily productivity 🌎
面向 Forward Deployed Engineer 的第二大脑:在 discovery、交付与交接全过程中提供 engagement 记忆与执行 Skill。Second brain for Forward Deployed Engineers: engagement memory + execution skills across discovery, delivery, and handoff.
Claude Code 的完整 AI 开发工具包。包含 106 个 skill、36 个 agent、171 个 hook。安装 `ork` 获取稳定版(v9.x),或安装 `ork-alpha` 获取每日发布的 v10 版本。The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stable (v9.x), or `ork-alpha` for the v10 line, which ships daily.
一份配置即可统管所有 AI agents:跨项目跨会话可移植、内置精选写作/路由/skills、更安全(内置破坏性命令防护)One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).
AgenticX 是一个统一、生产就绪的多 Agent 平台——Python SDK + CLI (agx) + Studio server + Machi 桌面应用。具备 Meta-Agent 编排、15+ LLM provider、MCP Hub、分层记忆、头像与群聊、Skill 生态、安全沙箱和 IM 网关(飞书/微信)。AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
[ICML 2026] effGen:让小型语言模型具备自主 Agent 能力[ICML 2026] effGen: Enabling Small Language Models as Capable Autonomous Agents