智能代理操作系统 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
智能代理操作系统 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
智能代理操作系统 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/benjaminkernbaum-ux/stoic-agentos
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"--------": {
"command": "npx",
"args": ["-y", "stoic-agentos"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 智能代理操作系统 执行以下任务... Claude: [自动调用 智能代理操作系统 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"________": {
"command": "npx",
"args": ["-y", "stoic-agentos"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <h1 align="center">⚡ Stoic AgentOS</h1> <p align="center"><strong>The Operating System for AI Agent Fleets</strong></p> <p align="center">Monitor, orchestrate, and persist knowledge across your AI agents — from a single dashboard.</p> </p>
<p align="center"> <a href="https://github.com/benjaminkernbaum-ux/stoic-agentos/stargazers"><img src="https://img.shields.io/github/stars/benjaminkernbaum-ux/stoic-agentos?style=social" alt="GitHub Stars" /></a> <a href="https://www.npmjs.com/package/stoic-agentos-sdk"><img src="https://img.shields.io/npm/v/stoic-agentos-sdk?color=blue&label=npm" alt="npm version" /></a> <a href="https://www.npmjs.com/package/stoic-agentos-sdk"><img src="https://img.shields.io/npm/dm/stoic-agentos-sdk?color=green" alt="npm downloads" /></a> <a href="https://stoic-agentos.vercel.app"><img src="https://img.shields.io/badge/dashboard-live-brightgreen" alt="Dashboard" /></a> <a href="https://github.com/benjaminkernbaum-ux/stoic-agentos/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-MIT-purple" alt="License" /></a> </p>
<p align="center"> <a href="https://stoic-agentos.vercel.app">Dashboard</a> · <a href="https://stoic-agentos.vercel.app/docs">Docs</a> · <a href="https://stoic-agentos.vercel.app/signup">Get Started Free</a> · <a href="https://www.npmjs.com/package/stoic-agentos-sdk">npm</a> · <a href="#quick-start">Quick Start</a> </p>
<p align="center"> <strong>⭐ If this helps you ship AI agents faster, give us a star — it helps a lot!</strong> </p>
---
| Feature | Description |
|---|---|
| 🤖 **Agent Monitoring** | Real-time status, heartbeats, error tracking for your entire fleet |
| 🧠 **Knowledge Persistence** | Agents remember decisions across sessions — no more re-learning |
| 📊 **Usage Analytics** | Observations/month, agent runs, error rates at a glance |
| 📦 **Multi-Workspace** | Group agents by project, repo, or team |
| ⚡ **Auto-Capture** | wrapAgent() logs start, success, and errors automatically |
| 🔑 **API Key Management** | Generate, list, and revoke keys from the dashboard |
| 💳 **Usage-Based Billing** | Free tier with real limits, upgrade when you need more |
| 🔒 **Row-Level Security** | Full RLS on Supabase — your data is isolated per org |
| 🧠 **Claude-Powered Insights** | Auto-summarize activity (Haiku 4.5) and diagnose failing agents (Sonnet 4.6 + thinking) |
| 🔐 **BYOK** | Bring your own Anthropic key — stored encrypted in Supabase Vault, never plaintext |
npm install
npm install stoic-agentos-sdk
Sign up at stoic-agentos.vercel.app → Dashboard → Settings → Generate Key
| Method | Endpoint | Auth | Description |
|---|---|---|---|
POST | /api/v1/observations | API Key | Create observation |
GET | /api/v1/observations | API Key | List observations |
POST | /api/v1/agents | API Key | Register agent |
GET | /api/v1/agents | API Key | List agents |
POST | /api/v1/agents/heartbeat | API Key | Agent heartbeat (upsert) |
POST | /api/v1/knowledge-items | API Key | Create knowledge item |
POST | /api/v1/workspaces | API Key | Create workspace |
GET | /api/v1/stats | API Key | Dashboard stats |
POST | /api/v1/api-keys | JWT | Generate API key |
DELETE | /api/v1/api-keys/:id | JWT | Revoke API key |
POST | /api/v1/billing/checkout | JWT | Start Stripe checkout |
POST | /api/v1/billing/portal | JWT | Open customer portal |
import { AgentOS } from 'stoic-agentos-sdk';
// Initialize
const os = new AgentOS({ apiKey: 'sk_live_xxx', workspace: 'my-app' });
// Core methods
os.capture({ type, title, content, metadata }) // Log observation
os.wrapAgent(name, fn) // Auto-monitor function
os.addKnowledge({ name, summary, content }) // Persist knowledge
os.listAgents() // Get all agents
os.listObservations({ limit, type }) // Query observations
// Claude-powered insights (v2.1+)
await os.summarize({ hours: 168 }) // AI briefing of recent activity
await os.analyzeAgent(agentId) // Diagnose an agent's health
await os.ask('Why did the email-agent fail?') // Free-form Q&A
AgentOS uses Anthropic Claude for AI-powered insights — summarizing observations, diagnosing agent failures, answering free-form questions about your fleet.
Models: Haiku 4.5 for fast summaries, Sonnet 4.6 with adaptive thinking for deep diagnosis.
Three surfaces: - API: POST /insights/{summarize,analyze-agent,ask} — see API Reference - SDK: os.summarize(), os.analyzeAgent(id), os.ask(q) (above) - MCP server: agentos_summarize_observations, agentos_analyze_agent, agentos_ask tools
BYOK (Bring Your Own Key): Customers can route inference through their own Anthropic account from Settings → Anthropic API Key. Keys are stored encrypted in Supabase Vault (vault.secrets, pgsodium at rest) and accessed only by the API's service role. When no per-org key is set, the platform falls back to the ANTHROPIC_API_KEY env var.
Cost tracking: Every Claude call is logged to anthropic_usage with token counts and cache hits. The Settings tab shows call count, token usage, and estimated cost over a 7/30/90-day window.
Caching: All requests use cache_control: { type: 'ephemeral' } so repeated system prompts hit the prefix cache at ~10% of input cost.
高质量的AI代理管理工具
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
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建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
经综合评估,智能代理操作系统 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | stoic-agentos |
| 原始描述 | 开源MCP工具:The Operating System for AI Agent Fleets - monitor, orchestrate, and persist kno。⭐6 · JavaScript |
| Topics | ai-agentsai-opsjavascript |
| GitHub | https://github.com/benjaminkernbaum-ux/stoic-agentos |
| 语言 | JavaScript |
收录时间:2026-05-25 · 更新时间:2026-05-30 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端