M9R
The multiplayer web for your AI agents
12 followers
The multiplayer web for your AI agents
12 followers
M9R makes your AI agents multiplayer on the web. Claude Code, Codex and OpenCode, on the subscriptions you already have, work in one shared browser: each with a name and a live cursor you can see, aware of what teammates are doing, unable to collide on a field, and asking you before anything risky. Type @claude @codex to task them from a small bar on the page. Developer preview, runs on your own PC. Also: live agent channels and native environments handoff.
Products used by M9R
Explore the tech stack and tools that power M9R. See what products M9R uses for development, design, marketing, analytics, and more.
Engineering & Development 2
Engineering & Development 2
Claude CodeAnthropic’s deep-context AI coder
5.0 (833 reviews)
We chose Claude Code because it handles large codebases and long-context engineering tasks extremely well. For M9R, we needed an agent that could reason across complex repos, understand existing architecture, make meaningful changes, and stay useful beyond simple autocomplete. Claude Code gave us the strongest combination of deep context, code quality, and agentic execution.
SupabaseThe open source Firebase alternative
5.0 (923 reviews)
We chose Supabase because it gave us Postgres, authentication, realtime capabilities, storage, and a solid developer experience without forcing us to stitch together a bunch of separate services. M9R is collaborative by nature, so having a backend that could support users, shared state, and realtime product features while still giving us the flexibility of Postgres was a strong fit.
LLMs 1
LLMs 1
OpenAIAPIs and tools for building AI products
5.0 (886 reviews)
We chose OpenAI because of the breadth and quality of its models, strong developer tooling, and reliable APIs. M9R is built around multiple AI agents working together, so having access to capable models for coding, reasoning, tool use, and structured workflows made OpenAI an important part of the stack. The ecosystem also made it easier to experiment quickly as the product evolved.