AgentPlaybooks
ai.agentplaybooks由 agentplaybooks.ai 發布官方發布者v0.10.1更新於 Nov 8, 2026
Vendor-neutral home for portable agents: skills, MCP tools, memory, canvas, and secret proxy.
概覽
AgentPlaybooks 是託管的中立平台,用可攜式 playbook 統一保存代理的人設、技能、MCP 伺服器、記憶、畫布與密鑰保險庫,可透過 MCP 存取。
- 可以做什麼
- 讀取與管理 playbook:人設、常駐指令、技能及其附件
- 使用帶標籤的鍵值記憶,並依執行維護具版本的 Markdown 畫布文件
- 把其他 MCP 伺服器與 OpenAPI 服務聯邦為工具,憑證依名稱從保險庫解析
- 依名稱引用密鑰,由伺服器端注入,密鑰值不會進入代理的上下文
- 檢視保險庫操作、聯邦呼叫與設定變更的稽核紀錄
- 將公開 playbook 的技能以純 Markdown 透過 HTTP 發布,便於依網址安裝
- 適用情境
- 適合想在多個宿主(Claude、Cursor、Codex、Gemini 等)之間共用一份可攜式代理設定,或需要讓代理共享記憶、工作文件,並在不暴露密鑰值的前提下集中保管憑證的情境。
- 執行需求
- 遠端 MCP 端點 agentplaybooks.ai,使用 streamable HTTP。預設以 OAuth 2.1 加 PKCE 於瀏覽器登入;僅在無介面使用時才需要 Authorization bearer 權杖。需要 AgentPlaybooks 帳號與 playbook。自架則需 Node.js 22+、npm 11+、Supabase 專案以及 SECRETS_ENCRYPTION_KEY。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 AgentPlaybooks,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.agentplaybooks%2Fagentplaybooks/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"agentplaybooks": {
"type": "http",
"url": "https://agentplaybooks.ai/api/mcp/manage"
}
}
}README
AgentPlaybooks
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.mdcontent - Skills:
SKILL.mddocuments 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 (
use_secret), 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: federated calls and vault operations (including refusals), plus configuration changes and memory/canvas writes, without copying secret values or document bodies into the log
- Audit evidence from the CLI: export JSONL/CSV, verify the per-playbook hash
chain, and explicitly confirm retention purges with
apb audit.
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; packages contain no vault secret values.
- Publishing: a public playbook's skills are served as plain markdown over HTTP
at
/.well-known/skills/— installable from a URL, no registry, no sign-up - Export formats: Agent Plugin ZIP, JSON, OpenAPI, MCP, Anthropic, Markdown
Working with other people
- API keys: role-based access control (Viewer, Coworker, Admin)
- Team collaboration: one-time editor invites without sharing human credentials or agent API keys
- Explore: practical use cases, setup guidance, curated starters, and a searchable public playbook catalog
- Sharing: public or unlisted playbooks; keep project context in private copies
- Theme: system-aware Light and Dark modes
Self-hosting, security & audit
Keep agent configuration and credentials on your infrastructure, with controls you can inspect in the source. The Self-host page introduces the available features; the deployment guide covers setup.
See the audit guide, self-hosted mTLS guide, and security documentation for configuration, evidence, and limits. Forwarding is optional and best-effort; retention requires an operator-scheduled call. Hash chains provide tamper evidence, not a digital signature.
Tech Stack
Live Demo
- Website: https://agentplaybooks.ai — the canonical host; https://apbks.com is a short domain for links
- Docs: https://agentplaybooks.ai/docs
- Release distribution checklist: npm, MCP registry, plugin stores, skill discovery, Hermes memory, and verification
- GitHub: https://github.com/matebenyovszky/agentplaybooks
Getting Started
Prerequisites
- Node.js 22+ (
enginesinpackage.json; CI runs 22) - npm 11+ — npm 10 writes a lockfile
npm cithen rejects - Supabase project
- Cloudflare account (optional for deployment)
Installation
Starters
Portable playbooks under examples/ — persona, instructions,
skills, MCP, memory, and vault in a tree you control. Small MIT examples you
can clone or cp -R. Not a marketplace.
Install into a host (optional doctor check, then sync):
See examples/README.md, the CLI docs, and the Agent Plugins spec.
Environment Variables
Create a .env.local file with:
Optional:
Development
Cloudflare Deployment
CLI, ChatGPT/Codex Plugin, and Claude Code Plugin (packages/cli)
agentplaybooks doctor <project> audits local agent configuration
(instructions, Agent Skills, custom agents, MCP servers, likely hard-coded secrets, drift)
and agentplaybooks sync <project> creates the canonical
agentplaybook.json plus the platform files missing from enabled targets:
Claude Code, Cursor, ChatGPT/Codex, GitHub Copilot, Gemini CLI, Google
Antigravity (.agents/skills), Grok Bot (.agents/skills, which it
discovers natively alongside AGENTS.md), and Hermes Agent (.agents/skills
registered in ~/.hermes/config.yaml, plus that file's mcp_servers: and
SOUL.md).
agentplaybooks plugin export|import round-trips Agent Plugins 1.0 packages;
the only manifest extension carries secret references and bindings, never
secret values.
login / playbooks / pull / push synchronize skills, MCP servers, and the
manifest with a hosted playbook using a user API key. push also creates a
private, versioned cross-platform AI agent configuration backup, including
complete Agent Skills folders and portable custom agents. backups lists
revisions; pull --snapshot can recover an earlier one. Secret values never
move, only references declared in spec.secrets. Mutating commands show a
plan first and require --apply, --yes, or interactive confirmation where
supported. See packages/cli/README.md and the
backup and migration guide.
The same package is a ChatGPT/Codex and Cursor plugin (skill + account MCP). Exact API-key setup and installation commands are in packages/cli/README.md.
The Claude plugin is a separate, lean folder, plugins/agentplaybooks: the
account MCP connector (OAuth, no key), a playbooks skill that works in chat and
Cowork, and doctor / sync commands that run the published CLI through a
pinned npx. It has no bin/ directory, because claude.ai and Cowork refuse a
plugin that has one. Add it on claude.ai under Customize → Plugins → Add
marketplace with matebenyovszky/agentplaybooks, or in Claude Code:
API Overview
Public and Unlisted playbook access
Public playbooks are visible to everyone. Unlisted playbooks are accessible via GUID but hidden from search.
Note: :id supports both UUID and GUID for personas and skills.
Authenticated playbook CRUD (session auth)
Personas (owner or editor)
Skills (owner or editor)
Memory writes (API key or owner)
Canvas work documents
Canvas documents belong to an isolated workflow run, so multiple teams can execute the same playbook without sharing work products. They are long-form markdown artifacts that agents can revise over time. Use memory for durable facts and structured state; use canvas for deliverables such as a PR review, research report, implementation plan, or draft that may be edited passage by passage.
PUT replaces document fields and requires expectedVersion. PATCH performs an incremental
append, prepend, or exact replace operation and also requires expectedVersion. A stale
version returns HTTP 409, preventing two agents from silently overwriting each other's work.
Playbook API keys (owner only)
Human collaboration (session auth; owner manages access)
Human editors are invited with a one-time link. They can edit playbook content, while ownership controls remain owner-only.
Invite links expire after 72 hours and can be accepted once. See Team Collaboration for the full permission model and security notes.
Playbook Secrets (owner or API key)
Secrets are encrypted using AES-256-GCM. Agents can use the use_secret MCP tool or proxy endpoint to use secrets in HTTP requests without ever reading the plaintext value.
Every vault operation is recorded, refusals included: what was done, to which secret, by the
owner or by which API key prefix, and for secret.use the destination host. An entry never
holds a secret value, a full outbound URL, or a key. Owners and read-only auditors can
read, export, and verify the trail. An agent key that performs vault operations cannot
read the trail unless separately granted the auditor role. See the
audit access model.
User profile and user API keys (Management)
Public discovery and saved favorites
These APIs support public reads, dashboard skill/MCP discovery, and existing favorites. Explore is a server-rendered use-case guide with curated first-party starter links; it does not load these catalogs or automatically feature public playbooks.
Memory write-back (playbook API key or owner)
MCP endpoints
For clients that require a local stdio process, see the local MCP transport. It uses the same account tools and authorization handlers; protocol discovery starts without credentials, while data operations require your instance configuration.
Every tool a playbook exposes is also reachable as a plain HTTP call, so a client that cannot speak MCP is not shut out:
Publishing skills over HTTP
Skills are served as plain markdown — an index plus one SKILL.md per skill, no
credential, open CORS. Any client can install from a base URL with no registry
and no sign-up. Only public playbooks are served; unlisted and private ones
stay reachable through apb pull.
Connection catalogue
Curated templates for wiring up a federated MCP server or OpenAPI service. Public, because a template is not a credential: every entry references the secrets it needs by name only, to be resolved from the playbook's vault.
Management
Health
API Key Usage
Playbook API keys let agents read/write memory for a single playbook.
User API keys are used for management endpoints and the MCP management server:
Project Structure
Database Schema
- playbooks: core entity (includes visibility enum: private, public, unlisted; persona fields for agent identity and
instructionsfor always-on project rules) - secrets: the vault — AES-256-GCM ciphertext, per-secret host allow-list, reveal flag, rotation and usage accounting
- audit_logs: owner/auditor-readable hash-chained history for federated calls, vault operations, configuration changes, and memory/canvas writes; no secret values, content bodies, full outbound URLs, or API keys. Renamed from
mcp_proxy_audit_logs. - skills: skill definitions and optional SKILL.md content
- skill_attachments: secure attachment storage for skills
- mcp_servers: MCP tools and resources
- playbook_runs: isolated executions of a reusable playbook
- canvas: versioned markdown work documents
- memories: key-value memory store
- api_keys: playbook-scoped API keys with RBAC roles
- user_api_keys: user-scoped API keys
- playbook_collaborators: accepted human editor memberships and hashed one-time invites
- profiles: public user profile data
- playbook_stars: saved playbook favorites
There is deliberately no second credential store. Federated MCP and OpenAPI
servers used to keep their own encrypted secrets in mcp_server_secrets; that
table was dropped (supabase/migrations/20260820_drop_mcp_server_secrets.sql)
because a second store meant the credentials most worth stealing sat in the
weaker box, without the rotation, expiry, usage accounting and audit trail the
vault already had. transport_config.auth.token_secret now names a vault entry
instead.
A note on Row Level Security
RLS is enabled on the tables listed above, but it is not the primary
authorization mechanism at runtime. Almost all API routes query with the
service-role key, which bypasses RLS; authorization is enforced in application
code (src/app/api/_shared/guards.ts).
RLS is load-bearing for the handful of endpoints that read public playbooks
with the anon key — the MCP manifest (/api/mcp/:guid), its tool routes, and
the public skills/MCP listings. Those depend on the anon SELECT policies in
supabase/migrations/20260107_permissions_refactor.sql. Removing or disabling
those policies breaks the endpoints rather than merely relaxing them.
Policies written against auth.uid() are currently inert, because no
JWT-bearing client performs table queries — the browser talks only to
/api/*, never to Postgres directly.
Security
Report vulnerabilities privately — see SECURITY.md. Do not open a public issue for a security defect.
Self-hosted operators assembling a NIS2 / 418/2024. 77. § filing can start from
the incident runbook
(HU). Release SBOMs and cosign verify
are in docs/security/supply-chain.md.
Contributing
-
Fork the repository
-
Create your feature branch (
git checkout -b feature/amazing-feature) -
Run the same checks CI runs, in the same order:
-
Commit your changes and open a Pull Request
Two things worth knowing before your first PR:
- Write the lockfile with npm 11. npm 10 produces a
package-lock.jsonthatnpm cithen rejects outright, so CI fails on install before it reaches your change.npx npm@11 installworks on Node 20 as well. - Warnings are tolerated, errors are not.
npm run lintcurrently reports a known set ofreact-hooksand navigation warnings, tracked in the issues — a clean run means zero errors, not zero output.
License
MIT — see LICENSE.
Use it for anything, including commercially. Keep the copyright notice and the permission notice in copies or substantial portions.
來源:README.md,提交 5bd3bde
工具
0版本歷史
3- v0.10.0Oct 31, 2026
- v0.9.1Oct 29, 2026
- v1.0.0Sep 16, 2026
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