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How to run a private group chat with AI personas with Talk with Me

Run a fully local multi-persona chat on your own llama.cpp server with no internet or login.

Authorization notice. Talk with Me is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer or hobbyist with a local LLM who wants several AI characters to talk in one room without sending chats to a cloud service.

The problemSingle-model chat tools offer one voice at a time and often depend on hosted services.

The outcomeA browser chat at localhost where one or more personas answer in a shared room, with messages saved per room.

What you need first

  • Python 3.10 or newer
  • A locally running llama.cpp server with an OpenAI-compatible API (the README mentions the --api flag)
  • A clone of the TalkWithMe repository and its dependencies installed from requirements.txt

Steps

  1. Start your llama.cpp server with its OpenAI-compatible API enabled, using the --api flag.
  2. In the project folder, run pip install -r requirements.txt.
  3. Run uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload.
  4. Open http://localhost:8000 in your browser, then open Settings and confirm the LLM base URL (the README example is http://localhost:8080).
  5. Create a chat room, assign two or more personas to it, and choose a routing mode such as LLM-decided, random, or manual.

Prompt for your agent

Use the TalkWithMe repo to start a local chat at http://localhost:8000 against a llama.cpp server at <llm-base-url>. Create one room with the personas Alex and Luna, send the message <test-message>, and report the persona replies. Verify that the room's messages are still listed after a page reload.

Caveat. The app needs a separately running llama.cpp server, which the README does not set up for you.

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