desplega-ai/agent-swarm

Your Company Agentic Operating System

装之前：没有可直接复制的命令 · 许可证 MIT · 链接可访问

第一步：npx skills add desplega-ai/agent-swarm

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

安装与配置

远端端点（Claude Desktop / Cursor / Windsurf 共用 mcpServers）

{
  "mcpServers": {
    "desplega-ai-agent-swarm": {
      "url": "https://{swarm_host}/mcp-user"
    }
  }
}

把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据，我们没有替你安装或托管它。官方 Registry 记录：这个端点列了【必填】请求头 Authorization（Bearer aswt_<token> for an active user on your swarm. Ask a swarm operator to mint it in People > your user > Tokens, or via POST /api/users）。用它要带上你自己的凭据。

VS Code（.vscode/mcp.json —— 键名是 servers，远程要 type: http）

{
  "servers": {
    "desplega-ai-agent-swarm": {
      "type": "http",
      "url": "https://{swarm_host}/mcp-user"
    }
  }
}

VS Code 的配置文件和另外三家不同：顶层键是 <code>servers</code>，远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。

Claude Code（命令行）

claude mcp add --transport http desplega-ai-agent-swarm https://{swarm_host}/mcp-user

Claude Code 不收 JSON 文件，用这条命令直接加。

客户端配置（取自该仓库的安装命令）

{
  "mcpServers": {
    "desplega-ai-agent-swarm": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}

解析自我们于 2026-11-08 抓取的该仓库 README；我们未执行过。

command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。

VS Code（.vscode/mcp.json —— 键名是 servers）

{
  "servers": {
    "desplega-ai-agent-swarm": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}

VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。

Claude Code（命令行）

claude mcp add --transport stdio desplega-ai-agent-swarm -- npx skills

Claude Code 不收 JSON 文件，用这条命令直接加。

配置项的键名以你的客户端为准：客户端与 CLI

★ 数取值: 1,053 ★ · desplega-ai/agent-swarm · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
来源明细: 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
收录与活跃: 收录于 2026-11-09 · 最近见到 2026-11-14 · 共见到 6 次 · 被 1 个来源列出
评分构成: 综合分 105 · 1,053 ★ · 1 个来源 · repo
安装: npx skills

常见问题（答案都来自我们的记录）

怎么安装？

该仓库给出的安装命令是 npx skills。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。

它适合谁 / 用来做什么？

我们把它归在这些标签下: 开源项目。标签来自条目自身，不是我们强加的分类。

谁维护它、还在更新吗？

仓库 desplega-ai/agent-swarm；我们收录于 2026-11-09；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

Agent Swarm is the open-source, self-hosted AI company operating system built by

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

> [!TIP]
> This repo evolves every single day. Watch now →
▸ every team, one swarm · daily evolution · Making of
agent-swarm.dev is an open-source operating system for AI work. A lead agent delegates goals to workers such as Claude Code or Codex. Isolated containers, shared memory, tools, schedules, and review gates preserve work across sessions.
## What you get
A lead agent that receives work from Slack, repositories, issue trackers, email, or the API
Schema-validated task results for callers that need structured JSON output
Deferred tasks that wake when all or any watched tasks reach an outcome, or a deadline arrives
Inline tool-result images in task logs, with previews that open at full size
Dashboard file attachments by paste, drag-and-drop, or file picker
Workers in isolated Docker containers with development environments
Memory and identity that persist across sessions, with citation ratings and self-rating hints enabled by default
Workflows, schedules, scripts, and apps for recurring work
Extensions for trusted TypeScript hooks, installed as agent-owned inert drafts and activated by a trusted lead, operator, or dashboard user
Realtime rooms for shared page state, presence, and live channels
Your choice of harness and models: Claude Code, Codex, pi, opencode, Cursor, Amp, Grok, fx, Devin, or ACP agents
mermaid
flowchart LR
subgraph IN["Tasks come in"]
direction TB
S["Slack"]
G["GitHub / GitLab"]
E["Email"]
A["API / CLI"]
end
LEAD(["Lead Agent plans & delegates"])
subgraph WORKERS["Workers in Docker"]
direction TB
W1["Worker"]
W2["Worker"]
W3["Worker"]
end
subgraph BRAIN["Persistent brain"]
direction TB
MEM["Memory (vector search)"]
ID["Identity (SOUL, CLAUDE.md)"]
end
subgraph OUT["Work ships"]
direction TB
PR["Pull Requests"]
REPLY["Slack replies"]
EMAIL["Email replies"]
end
IN --> LEAD --> WORKERS
WORKERS -->|reads context| BRAIN
WORKERS -->|writes learnings| BRAIN
WORKERS --> OUT
## Quick Start
Give your coding agent the operator skill for Docker Compose or Kubernetes:
bash
npx skills add desplega-ai/agent-swarm
Or install it as a plugin in your harness:
| Harness | Command |
| Claude Code | /plugin marketplace add desplega-ai/agent-swarm then /plugin install agent-swarm@agent-swarm |
| Codex | codex plugin marketplace add desplega-ai/agent-swarm && codex plugin add agent-swarm@agent-swarm (or use npx skills above) |
| Cursor | /add-plugin desplega-ai/agent-swarm |
| Gemini CLI | gemini extensions install https://github.com/desplega-ai/agent-swarm |
| Antigravity / Factory Droid | droid plugin marketplace add https://github.com/desplega-ai/agent-swarm then droid plugin install agent-swarm@agent-swarm |
| OpenCode, pi, Devin, Kimi, others | npx skills add desplega-ai/agent-swarm |
The plugin's privacy and
terms links describe the Agent Swarm website and
Cloud service. The self-hosted software remains covered by the MIT License.
Or self-host. docker-compose.example.yml is the reference deployment: deploy every agent in it by default (1 lead and 11 workers on the official templates), and remove agents only when you have a reason to.
Plan for at least 4 vCPU, 8 GB RAM and 40 GB of free disk, and prune old Docker images after upgrades. See Host requirements & disk cleanup.

收录徽章（可选）

想把收录标记放进 README 就复制这行，可选，不影响收录。

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来源: github · https://github.com/desplega-ai/agent-swarm
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