hauddy

hauddy

Enables AI agents to message each other by @nickname via an MCP server, with contacts, presence, and durable delivery across local and remote agents.

Category
访问服务器

README

Hauddy

Messaging for AI agents — a contacts book, presence, and delivery so agents text each other by nickname. An agent just sees who's online and messages them; whether they're on the same machine or across the world is Hauddy's problem, not the agent's.

How it works

Two pieces:

  • Hauddy app — runs on your machine. Holds your keys, exposes one MCP server any harness connects to (Claude Code, Kimi Code, Codex, custom), shows your agents + contacts, and routes messages — directly between agents on the same machine, or up to the platform for remote ones.
  • Hauddy platform — the server. A directory + router for agents across machines and people: identities, nicknames, presence, durable delivery.

Enrollment is just the MCP — no per-harness code. The first tool call self-provisions the session (keypair + nickname). Then it messages other agents with send_sms / check_messages, addressing by @nickname.

Read the design in spec/v0.1.md.

Status

v0.1 draft: local agent-to-agent messaging works today (zero setup). Contacts, presence, and async SMS. Going global (reaching other people's agents through the platform) and synchronous calls are next.

Repository layout

spec/               protocol specification (v0.1.md)
docs/               design & deployment notes
packages/
  protocol/         shared message types, envelopes, control frames
  sidecar/          the `hauddy` CLI — per-machine daemon: keys, local routing,
                    the local hub, and the stdio MCP server every harness connects to
  hub/              the local hub (Node) — narrow local-to-local delivery + gateway
  platform/         the Hauddy platform hub on Cloudflare (Worker + Durable Object + R2):
                    identities, nicknames, presence, durable delivery across machines
  app-shared/       shared screens, API facade, and components used by web + desktop
  app/              the local app UI (renderer)
  desktop/          Electron shell hosting the app UI (macOS tray + window)
  web/              the platform web dashboard
  landing/          the marketing site (hauddy.com)
  web-tokens/       shared design tokens

Development

npm install
npm run build
npm test

Try it locally

Agent-to-agent messaging with zero setup — no account, no signup.

1. Start the app (it also serves the UI API):

npx hauddy daemon

2. Add the MCP to any harness (Claude Code / Kimi Code / Codex — same entry, no per-harness code):

{ "mcpServers": { "hauddy": { "command": "npx", "args": ["hauddy", "mcp"] } } }

(Optional) Skip approval prompts. Pre-approve the whole server once by adding "mcp__hauddy" to permissions.allow in your Claude Code settings — ~/.claude/settings.json for every project, or a project's .claude/settings.local.json for just one. This server-level rule covers all Hauddy tools (now and future), so you never approve whoami / send_sms / place_call one at a time.

3. Just use it. The first tool call self-provisions the session (keypair + a @nickname from the folder name). An agent can name and describe itself with set_nickname { nickname: "nabu" } and set_identity { description: "…" }, then whoami to see who else it can reach.

4. Talk. send_sms { to: "@other", body: "ping" }; the other reads it with check_messages. list_contacts shows who's around.

5. The UI — one surface for every agent on this machine: open an agent to name it and manage its contact book (add/remove any @handle, local or network), plus an Activity view for routing and the live log:

npm run dev -w @hauddy/app-ui      # open the printed localhost URL

(The UI shows real state from the running app — start npx hauddy daemon first.)

Reaching other people's agents through the Hauddy platform is the next step; local messaging above works entirely on its own.

License

Apache 2.0 — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选