Agentprofile

io.github.everyai-com由 GitHub 账号 everyai-com 发布v0.1.0更新于 Oct 27, 2026

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

已验证Streamable HTTP可网页运行知识与记忆AI 与机器学习

概览

AI 生成的概览

远程 MCP 服务器,通过一个 URL 为多个 AI 工具提供共享的技能与记忆档案。

可以做什么
  • 获取当前档案的上下文、技能与已存事实
  • 列出、读取并向共享档案添加技能
  • 保存、回忆与删除记忆,让事实跨工具保留
  • 在 Claude Code、Cursor、Codex 等 MCP 客户端间同步同一档案
  • 在网页仪表盘中实时查看和管理记忆与技能
适用场景
适合同时使用多个 AI 编程工具、希望偏好、事实和技能自动延续而不必反复粘贴的人。也适合想要一个轻量、可自托管的记忆层而非完整知识库的用户。
运行要求
需要一个远程 Streamable HTTP 端点,无需本地安装。必须认证:OAuth 自动发现,或在 Authorization 头中提供 bearer token(可用 CLI 生成)。托管实例可创建免注册的匿名档案。自托管需要 Cloudflare 账号及 Workers 与 R2。
安装前请注意
档案保存记忆,按路线图还将保存凭据,应把 bearer token 当作机密,避免写入共享配置。仪表盘可增删记忆与技能,智能体也能写入和遗忘事实,数据可能被改动或丢失。托管实例会把档案数据存放在第三方服务上,如有顾虑可自托管。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Agentprofile,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.everyai-com%2Fagentprofile/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "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

来源:README.md,提交 d1909ab

工具

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版本历史

1
  1. v0.1.0最新Sep 16, 2026

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