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matebenyovszky/agentplaybooks

Equip once. Run anywhere. Portable AI agents and toolkits—no vendor lock-in.

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:git clone https://github.com/matebenyovszky/agentplaybooks.git

无 SECURITY.md
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": {
    "matebenyovszky-agentplaybooks": {
      "url": "https://agentplaybooks.ai/api/mcp/manage"
    }
  }
}
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 AgentPlaybooks user API key (for example: Bearer apb_live_...))。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": {
    "matebenyovszky-agentplaybooks": {
      "type": "http",
      "url": "https://agentplaybooks.ai/api/mcp/manage"
    }
  }
}
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 matebenyovszky-agentplaybooks https://agentplaybooks.ai/api/mcp/manage
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": {
    "matebenyovszky-agentplaybooks": {
      "command": "npx",
      "args": ["@agentplaybooks/cli@latest"]
    }
  }
}

解析自我们于 2026-10-26 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": {
    "matebenyovszky-agentplaybooks": {
      "command": "npx",
      "args": ["@agentplaybooks/cli@latest"]
    }
  }
}
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 matebenyovszky-agentplaybooks -- npx @agentplaybooks/cli@latest
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
11 ★ · matebenyovszky/agentplaybooks · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-23 · 最近见到 2026-11-14 · 共见到 26 次 · 被 23 个来源列出
评分构成
综合分 2,300 · 11 ★ · 23 个来源 · mcp
安装
npx @agentplaybooks/cli@latest
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 @agentplaybooks/cli@latest。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: MCP 服务。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 matebenyovszky/agentplaybooks;我们收录于 2026-10-23;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。

# AgentPlaybooks

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

One playbook, every agent. A portable operating environment for AI agents — persona, skills, MCP servers, project instructions, and memory in one source of truth.
Keep your agents yours. AgentPlaybooks stores skills, personas, MCP servers, project instructions, and memory in one portable playbook, so you can switch platforms, use several at once, or self-host without vendor lock-in.
Your agent setup stays in sync across Claude, ChatGPT, Cursor, Codex, Gemini, local models, and future platforms. The playbook is the portable source of truth—not any single vendor or editor.
It is not another skill store or MCP registry. Skills and MCP connections are parts of a playbook; the playbook is the whole job. That holds for agents with a body too: a skill can carry demonstrations, recordings of the task in the order a robot performs them.
## Highlights
What a playbook holds
Persona: 1 per playbook, stored directly on the playbook record
Instructions: always-on project rules — the AGENTS.md / CLAUDE.md content
Skills: SKILL.md documents in the Agent Skills format, frontmatter preserved across every client
Skill attachments: bundled scripts, references, and templates, round-tripped by the CLI
Demonstrations: recordings of a skill being performed — YouTube, a pinned URL, or a LeRobot dataset — with timestamped segments, for agents that learn by watching
MCP servers: tools and resources in Model Context Protocol format
Memory: key-value store with tags and descriptions, with a native Hermes memory provider
Hermes Tools plugin: connect playbook skills, MCP/OpenAPI tools, and credentials
Canvas: versioned markdown work documents, scoped to a playbook run, so several
teams can execute the same playbook without sharing work products
Credentials, without handing them over
Secrets vault: AES-256-GCM, per-user derived keys. Agents reference a secret by
name and the platform injects it server-side (usesecret), so the value never
enters an agent's context. Optional per-secret host allow-lists, and an
expiry that is enforced: an expired secret is refused by every path that
would use it.
Federation: other MCP servers and OpenAPI services become tools on your
playbook, with their credentials resolved from that same vault by name
Audit trail: every federated call and every vault operation, refusals included
Getting it into your tools
Claude: one plugin brings every playbook in your account into claude.ai,
Claude Desktop, Cowork, Claude Code, and mobile, signing in with OAuth — no
API key. Or add a single playbook as a custom connector. See
AgentPlaybooks in Claude.
Cursor and VS Code: one-click install links for the account or a single
playbook — on each playbook's Integrations tab, and in
MCP Integration.
CLI + portable Agent Plugin: audit your local agent config, then sync one playbook
to Claude Code, Cursor, ChatGPT/Codex, Google Antigravity, Grok Bot and Hermes
Agent Plugins 1.0: install the project plugin or export a single playbook as
plugin.json, mcp.json, and complete Agent Skills directories. Compatible
MCP hosts can also discover hosted playbook skills through the MCP Skills extension.
Private, versioned central backups are separate from installable plugin exports;
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
awesome · https://github.com/matebenyovszky/agentplaybooks
按领域浏览
MCP 服务
Traction
11 ★
收录来源
23 个独立来源
收录于
今天
安全策略
我们没在该仓库根目录找到 SECURITY.md(这不代表不安全)

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