Agentprofile
概览
作者提供的说明(英文原文)
One profile — skills, credentials, and memory — synced to every agent tool via one MCP URL.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 3 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在云端运行
- 传输方式: Streamable HTTP
- 分类: 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:3 项中通过 3 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 注册中心没有列出需要填写的密钥。
你需要
- 在云端运行无需安装任何东西,通过互联网连接
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://agentprofile.everyai-com.workers.dev/mcp在终端中运行这条命令
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"agentprofile": {
"url": "https://agentprofile.everyai-com.workers.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"agentprofile": {
"type": "http",
"url": "https://agentprofile.everyai-com.workers.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://agentprofile.everyai-com.workers.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月10日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 everyai-com 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 202 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5837 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5837 个服务器的 35% 更新
- 基础检查结果等于或优于此分类中其他 5837 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Agentprofile 安全吗?
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, Exa
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
agentprofile
Your agent's identity, everywhere. One profile — skills, credentials, and memory — synced to every agent tool through a single MCP URL. Open source, zero-knowledge, and self-hostable on your own Cloudflare account.
Every AI tool you use — Claude Code, Cursor, Codex — starts from zero: its own
skills, its own pasted API keys, its own amnesia. agentprofile gives them one
shared brain.
Live now: hosted at https://agentprofile.everyai-com.workers.dev ·
dashboard at
/app
Connect (any MCP client)
The server is a remote MCP server (Streamable HTTP) — no install needed, just one URL:
https://agentprofile.everyai-com.workers.dev/mcp
It supports two ways to authenticate:
- OAuth (recommended) — clients that support MCP OAuth discover it automatically from the URL and show a consent screen.
- Bearer token — run
npx @magicteams_ai/agentprofileto get a token, or hitPOST /profiles.
Claude Code
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp
Or with a bearer token:
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp \
--header "Authorization: Bearer ap_…"
</details>
Cursor / other mcp.json clients
{
"mcpServers": { "agentprofile": { "url": "https://agentprofile.everyai-com.workers.dev/mcp", "headers": { "Authorization": "Bearer ap_…" } } } }
</details>
Codex CLI
export AGENTPROFILE_TOKEN="ap_…"
codex mcp add agentprofile --url https://agentprofile.everyai-com.workers.dev/mcp --bearer-token-env-var AGENTPROFILE_TOKEN
Or, for a client that does OAuth discovery:
codex mcp add agentprofile --url https://agentprofile.everyai-com.workers.dev/mcp
VS Code / Copilot
{
"servers": { "agentprofile": { "type": "http", "url": "https://agentprofile.everyai-com.workers.dev/mcp" } } }
</details>
Or just run `npx @magicteams_ai/agentprofile` and it configures every client it finds.
60-second demo
npx @magicteams_ai/agentprofile
That creates an anonymous profile (no signup) on the hosted instance, auto-detects your installed MCP clients, and writes their config. Restart your tools, then:
- In Claude Code: *"Remember that I prefer pnpm over npm."*
- In Cursor: *"What package manager do I prefer?"*
It recalls it. That's your profile, everywhere.
What's in this repo (Phase 1)
This is the Phase 1 implementation from the master plan: a working end-to-end skeleton that syncs skills and memory across tools over MCP. Credentials (zero-knowledge), OAuth, semantic recall, and the skill registry land in later phases — see Roadmap.
| Path | What it is |
|---|---|
apps/worker | The Cloudflare Worker: a remote MCP server backed by one Durable Object per profile (SQLite for memory, R2 for skill bundles), plus a landing page (/) and a live dashboard (/app) with real-time WebSocket sync. |
packages/cli | The agentprofile CLI: instant-profile onboarding, client auto-config, doctor, skill add. |
Web UI
- `/` — landing page with the one-command install and the pitch.
- `/app` — live dashboard. Paste your token (or hit "Create new") and watch skills and memory update in real time: when any agent calls
remember, the fact appears instantly over a WebSocket. Add or delete memories and skills right from the page. - `/setup-prompt` — the "set up with your agent" prompt: paste it into Claude Code or Cursor and your own agent installs and verifies agentprofile for you.
How it works
agent tool ──Streamable HTTP──▶ Worker ──idFromName(profileId)──▶ ProfileDO
(Claude Code / Cursor) /mcp per-user SQLite • facts (memory) • skills
- One Durable Object per user is the source of truth. It validates the profile's secret on every call and owns that profile's memory and skills.
- Bearer token = `ap_ . `. The
profileIdroutes to the DO; the DO verifies a SHA-256 hash of the secret. No central token table. - The MCP surface is 6 tools:
get_context,list_skills,get_skill,remember,recall,forget. Deliberately small — every description byte is paid on every client turn (pinned in tests).
Run it locally
npm install
npm run dev # starts the Worker on http://localhost:8787
In another terminal:
# point the CLI at your local server
AGENTPROFILE_SERVER=http://localhost:8787 npx @magicteams_ai/agentprofile
Run the tests and typecheck:
npm --workspace apps/worker run test
npm --workspace apps/worker run typecheck
Deploy your own (self-host)
agentprofile self-hosts on your own Cloudflare account — the free Workers tier covers personal use.
cd apps/worker
npx wrangler r2 bucket create agentprofile-bundles npx wrangler deploy
then set PUBLIC_BASE_URL to your deployed URL and connect with:
AGENTPROFILE_SERVER=https://agentprofile. .workers.dev npx @magicteams_ai/agentprofile
Roadmap
- P1: MCP server + ProfileDO, 6 tools, memory + skills, instant-profile CLI, live dashboard. ✅
- P2: per-client grants + audit log with live enforcement + dashboard access panel ✅; MCP sessions (
Mcp-Session-Id) ✅; semantic recall via Workers AI embeddings (keyword fallback) ✅; pluggable memory providers (builtin default + Mem0 + Supermemory adapters,/memory-config) ✅; OAuth 2.0 + PKCE consent flow with discovery, dynamic registration, and consent screen ✅. - P3: zero-knowledge credentials (client-side E2E), JIT injection, approval flow.
- P4: one-click Deploy-to-Cloudflare, signed skill registry, format translators.
- P5: teams, SSO, hosted cloud.
See the full plan in docs/.
Contributing
Contributions are welcome under the DCO — sign off commits with git commit -s. See SECURITY.md for responsible disclosure.
License
Apache-2.0.
Part of the everyai-com agent stack
Open-source infrastructure for local-first, governed AI agents:
- distillory — local-first memory engine that reasons at ingestion
- agent-ready — turn any app into an MCP server + API + CLI, safe by default
- primer — live business context injected into any agent
- plainsync — local-first Markdown workspace for humans + agents
- argus — cloud-native software verification with parallel browser testing
- mintly-alternative — self-hostable documentation layer for humans + AI agents
- talltrack — sales calls in, publishable content out
Built by Phanindra Reddy · magicteams.ai