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llm-group-chat
create multi persona llms and chat with them all in groups
llm-group-chat is a WhatsApp-style multi-llm chat app that lets you converse, collaborate, brainstorm, and decide with multiple LLMs in one chat.
Create AI buddies with distinct roles and prompts, group them into rooms around a topic, and run shared conversations where @mentions can narrow which buddies respond.
Inspired by Andrej Karpathy's LLM Council.
- Each AI buddy has a role, responsibilities, prompt, and model selection.
- Group chats bind a topic to a selected roster of buddies and keep all turns in one shared timeline.
- @mentions narrow the responder set; untagged messages fan out to the full room in order.
HOW:
- Runs entirely in the browser — no sign-in, no backend, nothing leaves your machine unless a buddy sends a prompt to OpenRouter.
- Each buddy carries its own system prompt. When a room conversation happens, the room's topic and recent messages are included as context for every reply.
- All model requests go through OpenRouter using the API key you provide.
Privacy:
- Buddies, rooms, and message history are saved in this browser's local storage. Nothing is synced to a server.
- Your OpenRouter key is held in memory only for the current tab. It is never written to storage and is cleared on refresh.
About llm-group-chat on Product Hunt
“create multi persona llms and chat with them all in groups”
llm-group-chat was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. llm-group-chat is a WhatsApp-style multi-llm chat app that lets you converse, collaborate, brainstorm, and decide with multiple LLMs in one chat.
On the analytics side, llm-group-chat competes within Artificial Intelligence and GitHub — topics that collectively have 508.5k followers on Product Hunt. The dashboard above tracks how llm-group-chat performed against the three products that launched closest to it on the same day.
Who hunted llm-group-chat?
llm-group-chat was hunted by Mukesh KG. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of llm-group-chat including community comment highlights and product details, visit the product overview.
Mukesh KG