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fullmoon web

chat with private and local large language models.

quick start: using fullmoon with your local llm

step 1: download a local model

you have two main options for getting local models:

option a: using ollama

# Install Ollama from https://ollama.ai
# Then pull any model:
ollama pull llama3.2:1b        # Llama 3.2
ollama pull mistral       # Mistral 7B

option b: download from hugging face

  1. visit Hugging Face
  2. search for compatible models (e.g., Llama 3)
  3. download using Git LFS:
# Example for Mistral 7B
git lfs install
git clone https://huggingface.co/mistralai/Mistral-7B-v0.1

step 2: run an openai-compatible server

choose one of these servers:

step 3: create a public endpoint

make your local server accessible using ngrok or localtunnel:

# For Ollama
ngrok http 11434 --host-header="localhost:11434"

# For MLX Omni Server
ngrok http 10240

step 4: configure fullmoon

  1. go to web.fullmoon.app
  2. open settings
  3. enter your endpoint details:
    • endpoint URL: https://your-ngrok-url.ngrok.io/v1
    • api key: api key of the endpoint (e.g., ollama, lm-studio)
    • model name: Same as the model you downloaded (e.g., llama2, mistral)

development guide

a monorepo containing two versions of the fullmoon web app

  1. a local version using SQLite for storage
  2. a web version using IndexedDB for client-side storage live on https://web.fullmoon.app

project structure

apps/
  ├── local/          # SQLite-based version
  └── web/            # IndexedDB-based version
packages/
  ├── database/       # Shared database interface
  └── ui/             # Shared UI components

prerequisites

  • Node.js 22+
  • bunjs

installation

bun install

running locally

For local version (sqlite):

# Setup database
npx prisma migrate dev

# Start development server
bun run dev --filter local

For web version (IndexedDB):

bun run dev --filter web

building

# Build all
bun run build

# Build specific app
bun run build --filter local
# or
bun run build --filter web

license

MIT

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