Agentprofile

io.github.everyai-com由 GitHub 帳號 everyai-com 發布v0.1.0更新於 Oct 27, 2026

One profile — skills, credentials, and memory — synced to every agent tool via one MCP URL.

已驗證Streamable HTTP可網頁執行知識與記憶AI 與機器學習

概覽

AI 產生的概覽

遠端 MCP 伺服器,透過單一 URL 為多個 AI 工具提供共用的技能與記憶設定檔。

可以做什麼
  • 取得目前設定檔的上下文、技能與已存事實
  • 列出、讀取並新增技能到共用設定檔
  • 儲存、回想與刪除記憶,讓事實跨工具保留
  • 在 Claude Code、Cursor、Codex 等 MCP 用戶端之間同步同一份設定檔
  • 在網頁儀表板即時檢視與管理記憶和技能
適用情境
適合同時使用多個 AI 程式開發工具、希望偏好、事實與技能自動延續而不必反覆貼上的人。也適合想要輕量、可自架記憶層而非完整知識庫的使用者。
執行需求
需要遠端 Streamable HTTP 端點,無須本機安裝。必須驗證:OAuth 自動探索,或在 Authorization 標頭提供 bearer token(可用 CLI 產生)。託管執行個體可建立免註冊的匿名設定檔。自架需要 Cloudflare 帳號及 Workers 與 R2。
安裝前請注意
設定檔保存記憶,依藍圖日後還會保存憑證,應將 bearer token 視為機密,避免寫入共用設定。儀表板可新增與刪除記憶和技能,代理也能寫入與遺忘事實,資料可能被變更或遺失。託管執行個體會把設定檔資料存放在第三方服務,如有疑慮可自架。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agentprofile,將其新增到工作區。
  2. 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。
  3. 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/io.github.everyai-com%2Fagentprofile/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。

檢視代理程式所依據的安裝指南

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": {
    "agentprofile": {
      "type": "http",
      "url": "https://agentprofile.everyai-com.workers.dev/mcp"
    }
  }
}

README

agentprofile

[license] [MCP] [clients] [status]

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
bash
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp

Or with a bearer token:

bash
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp \  --header "Authorization: Bearer ap_…"
Cursor / other mcp.json clients
json
{  "mcpServers": {    "agentprofile": {      "url": "https://agentprofile.everyai-com.workers.dev/mcp",      "headers": { "Authorization": "Bearer ap_…" }    }  }}
Codex CLI
bash
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:

bash
codex mcp add agentprofile --url https://agentprofile.everyai-com.workers.dev/mcp
VS Code / Copilot
json
{  "servers": {    "agentprofile": {      "type": "http",      "url": "https://agentprofile.everyai-com.workers.dev/mcp"    }  }}

Or just run npx @magicteams_ai/agentprofile and it configures every client it finds.

60-second demo

bash
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_<profileId>.<secret>. 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

bash
npm installnpm run dev            # starts the Worker on http://localhost:8787

In another terminal:

bash
# point the CLI at your local serverAGENTPROFILE_SERVER=http://localhost:8787 npx @magicteams_ai/agentprofile

Run the tests and typecheck:

bash
npm --workspace apps/worker run testnpm --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.

bash
cd apps/workernpx wrangler r2 bucket create agentprofile-bundlesnpx wrangler deploy# then set PUBLIC_BASE_URL to your deployed URL and connect with:AGENTPROFILE_SERVER=https://agentprofile.<you>.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

來源:README.md,提交 d1909ab

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版本歷史

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  1. v0.1.0最新Sep 16, 2026

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