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Agentprofile

作者:everyai-com版本 0.1.0i★ –i在云端运行
注册名称io.github.everyai-com/agentprofile

安装

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。

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

你需要

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
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

在 Cursor 中打开

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。

在 VS Code 中打开

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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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6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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 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 7243 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7243 个服务器的 36% 更新
  • 基础检查结果等于或优于此分类中其他 7243 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 1 项适用的基础检查中通过了 1 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:★ 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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

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/agentprofile to get a token, or hit POST /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:

  1. In Claude Code: *"Remember that I prefer pnpm over npm."*
  2. 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.

PathWhat it is
apps/workerThe 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/cliThe 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 profileId routes 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

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