AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证Multiplayer AI coding, Open source
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
A live room where you, your teammates and several agents build the same app. Open source.
Four people in that room. Someone asks in plain language, the agent answers in terms of what changed, and the app on the right updates without a refresh. Everyone sees it at the same time, cursors included.
Open http://localhost:4000, create a room, ask an agent for something. It'll ask for your API key, and that's the whole setup.查看完整 README ↗A live room where you, your teammates and several agents build the same app.
Four people in that room. Someone asks in plain language, the agent answers in terms of what changed, and the app on the right updates without a refresh. Everyone sees it at the same time, cursors included.
git clone https://github.com/ErickUser1/multi
cd multi
npm install
npm start
Open http://localhost:4000, create a room, ask an agent for something. It'll ask for your API key, and that's the whole setup.
Needs Node 22+. Docker is optional but recommended: with it, each room runs isolated in its own container. Without it, agents run commands directly on your machine and the server says so on startup.
npm run compartir
Prints a public link. Send it and they walk in. nothing to install on their side.
While that runs your machine is on the internet, and anyone with the link can enter any room.
Ctrl+Cwhen you're done.
Every work tool of the last two decades won by going multiplayer. Google Docs beat Word. Figma beat Photoshop.
AI coding hasn't had that moment. You open a chat, type a prompt, get an answer in a box only you can see. Two people building the same thing means two private threads, two agents, and finding out you diverged three days later.
Multti makes the project the place you're in, not the file you pass around.
The idea comes from Multiplayer AI (Aaron Epstein, YC RFS).
@agente to talk to an agent. Without the mention, the chat is just people, you can think out loud without anyone starting to work.@agente-1 make it blue stops it right there.Everyone brings their own key and pays only for what they ask. In one room, one person can be on Claude, another on a free model, another on a local one.
Anthropic · OpenRouter · OpenAI · Groq · DeepSeek · Ollama
Your key lives in your browser and in the server's memory while you're connected, never on disk, never inside the container, never visible to anyone else in the room.
Each room is a folder with its own git, isolated in its own container. The agent is hand-written, with no agent framework and no model SDK. Rooms start empty: it scaffolds whatever stack you ask for.
Full walkthrough in E2E.md · What's missing and why in ROADMAP.md · Both in Spanish.
The UI, code, comments and commits are in Spanish. This README is in English so the project can be found, but if you open keyed-mutex.ts you'll read "misma clave hace fila."
Deliberate, not an oversight. PRs in either language. just keep the file you touch consistent with itself.
Multti is proprietary: the source is public to read, but not to copy, modify or redistribute. See LICENSE. External contributions are not being accepted right now.