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AGNT编排智能体、工作流与持续目标

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AGNT编排智能体、工作流与持续目标

agnt-gg
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摘要

AGNT 将智能体、可视化工作流和持续目标集中在本地工作台,可用子智能体并行分工,并通过检查点、评估和暂停恢复管理执行;材料提供了克隆仓库、安装依赖和启动本地后端的命令。

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agnt

The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals.
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AGNT The local-first agent operating system for workflows, goals, memory, plugins, subagents, evals, and self-improving AI work. Chat when you need judgment. Use workflows when you need repeatability. Set goals when you want AGNT to keep working. Delegate when work should happen in parallel. 🌐 Website · 📥 Download · 🧠 What is AGNT? · 🧩 Runtime model · ✨ Features · 📦 Install · 📚 API Docs · 🔌 Plugins · 💬 Discord 🧠 What is AGNT? AGNT is a local-first agent operating system: a desktop app and self-hostable backend for building, running, evaluating, and evolving AI work. It brings agents, workflows, goals, tools, memory, plugins, evals, traces, messaging, and APIs into one local workspace. That is the product: AI work becomes durable, inspectable, repeatable, and improvable. 📥 Download AGNT Pre-built desktop apps for Windows, macOS, and GNU/Linux. No build step, no terminal. Or run it yourself: build from source · Docker · all install options 🖼️ Screenshots ⚡ The short version AGNT gives you: 🤖 Agents — memory, tools, skills, providers, and streaming chat. 🧩 Workflows — 60+ nodes, triggers, branches, checkpoints, and nesting. 🎯 Goals — plan, execute, evaluate, re-plan, pause, resume, and revert. 👥 Subagents — delegate across agents, workflows, async tools, MCP, plugins, APIs, and parallel branches. 📣 Event automation — Telegram, Discord, Slack, email, Gmail, webhooks, schedules, Zapier, and custom APIs. 🧠 Memory + insights — facts, preferences, corrections, bottlenecks, patterns, and tool choices. 🧬 SkillForge — turn execution traces into better reusable skills. 🔌 Plugins — .agnt packages with tools, triggers, widgets, hot reload, and marketplace distribution. 🛠️ Local API — port 3333 for agents, workflows, goals, tools, files, plugins, MCP, skills, insights, and executions. ⚡ Real-time UX — SSE streams and Socket.IO updates. 🗄️ Local-first storage — SQLite plus filesystem data you control. 🧠 Provider freedom — OpenAI, Anthropic, Gemini, Grok, Groq, Cerebras, DeepSeek, OpenRouter, Together, Kimi, MiniMax, Z.AI, local CLI auth, and custom endpoints. 🖥️ Run anywhere — desktop, Docker, headless server, VPS, homelab, Raspberry Pi, local files, CLIs, browser automation, MCP, and custom APIs. ⚡ Quick start git clone https://github.com/agnt-gg/agnt.git cd agnt npm install cd frontend && npm install && cd .. npm start For development with frontend hot reload: # Terminal 1 cd frontend npm run dev # Terminal 2 npm start The local backend runs on: http://localhost:3333 🧭 Choose your install path You want to... Use this Try AGNT locally npm install then npm start Develop the UI/backend Vite dev server + Electron/backend Run AGNT as a local server Build frontend, then npm start Self-host on a VPS, homelab, or Raspberry Pi Docker Build plugins Clone repo + backend/plugins/dev templates Script AGNT from other tools Local API at http://localhost:3333/api Most developers should start with the Quick start above, then use Docker or headless mode once they know how they want to run AGNT. ✅ Does AGNT fit your use case? Use AGNT if your work needs: 📥 events that trigger AI work 🔁 repeatable automations 🎯 long-running objectives 👥 delegated work across agents, tools, APIs, and workflows 🧠 memory across runs 📜 inspectable traces, costs, outputs, and decisions 🔌 custom tools, plugins, MCP, or provider auth 🖥️ local or self-hosted ownership Probably not if you only need: 💬 a hosted chatbot 🧪 a prompt playground ☁️ a SaaS-only automation tool 🏢 public multi-tenant hosting for unrelated organizations 🪄 a zero-config cloud product with no local data, APIs, plugins, or providers 🆚 How AGNT compares AGNT overlaps with agent frameworks, workflow tools, plugin ecosystems, and self-improving skill systems. Its strength is the union. If you are comparing AGNT to... The difference Hermes Agent Hermes is a narrower autonomous-agent framework. AGNT can run the same single-agent style of work, then go further: multi-agent systems, visual workflows, long-running goals, plugins, evals, traces, dashboards, provider management, APIs, messaging triggers, custom tools, local memory, and local-first persistence. OpenClaw OpenClaw focuses on CLI-driven tool use. AGNT includes tool use, then adds a desktop app, local backend, visual workflows, goals, plugins, evals, dashboards, provider management, messaging triggers, MCP, custom APIs, and persistent local state. n8n / Zapier AGNT has visual automation, but also persistent agents, memory, goals, SkillForge, MCP, provider auth, local traces, custom APIs, and plugin-native AI execution. LangChain / AutoGen / CrewAI AGNT is not just a framework. It includes the desktop UI, local backend, workflow canvas, goals, plugins, storage, dashboards, and runtime APIs. OpenWebUI / chat apps AGNT has chat, but chat is only one execution mode. Workflows, goals, tools, plugins, memory, and evals are first-class. Claude Code / coding agents AGNT can work with local projects and tools, but also orchestrates workflows, messaging triggers, custom APIs, dashboards, skills, and long-running goals. Other tools cover fragments of the stack. AGNT is the full local-first agent operating system. 📦 Installation ✅ Prerequisites Node.js 18+ npm 9+ Git 🚀 Quick install from source git clone https://github.com/agnt-gg/agnt.git cd agnt npm install cd frontend && npm install && cd .. npm start 🧑‍💻 Development mode # Terminal 1: frontend dev server with Vite HMR cd frontend npm run dev # Terminal 2: Electron app and backend on port 3333 npm start 🏭 Production mode cd frontend && npm run build && cd .. npm start 🐳 Docker install Use Docker for an isolated self-hosted deployment. Docker snap users on Linux: If you installed Docker via snap, set AGNT_HOME with an absolute path, for example AGNT_HOME=/home/username docker compose up -d, to avoid snap home directory isolation issues. Updating an existing Docker deployment: docker compose up -d alone does not always fetch a newer image when the tag already exists locally. Run docke