It's hard to describe the project structure in a few words, but it currently looks like this:

1. Clone the repository:

   git clone https://github.com/moeru-ai/airi-factorio

2. Install dependencies:

   pnpm i

3. Create a symlink for the autorio mod:

   cd /path/to/airi-factorio
   
   ln -s /path/to/airi-factorio/packages/autorio/dist /path/to/factorio/data/autorio
   # If you are using DevContainer, you can use the following command:
   ln -s /workspace/airi-factorio/packages/autorio/dist /opt/factorio/data/autorio

4. Copy and fill the .env file:

   cp packages/agent/.env.example packages/agent/.env.local
   cp packages/factorio-wrapper/.env.example packages/factorio-wrapper/.env.local

   If you are using DevContainer, you can set WS_SERVER_HOST and FACTORIO_WS_HOST and RCON_API_SERVER_HOST to localhost.

5. Create a game save file, the save file path should be the same as the one in the .env file:

   /path/to/factorio/bin/x64/factorio --create /path/to/factorio/the-save-file.zip
   # If you are using DevContainer, you can use the following command:
   /opt/factorio/bin/x64/factorio --create /path/to/factorio/the-save-file.zip
   # If your machine is not x64, you can use the following command:
   box64 /opt/factorio/bin/x64/factorio --create /path/to/factorio/the-save-file.zip

6. Run the development script:

   pnpm run dev

Now you can use the commands in Factorio, the script will be compiled automatically, but you need to exit and re-enter the game to see the changes(no need to restart the game).

• Awesome AI VTuber: A curated list of AI VTubers and related projects
• unspeech: Universal endpoint proxy server for /audio/transcriptions and /audio/speech, like LiteLLM but for any ASR and TTS
• hfup: tools to help on deploying, bundling to HuggingFace Spaces
• xsai-transformers: Experimental 🤗 Transformers.js provider for xsAI.
• WebAI: Realtime Voice Chat: Full example of implementing ChatGPT's realtime voice from scratch with VAD + STT + LLM + TTS.
• @proj-airi/drizzle-duckdb-wasm: Drizzle ORM driver for DuckDB WASM
• @proj-airi/duckdb-wasm: Easy to use wrapper for @duckdb/duckdb-wasm
• Airi Factorio: Allow Airi to play Factorio
• Factorio RCON API: RESTful API wrapper for Factorio headless server console
• autorio: Factorio automation library
• tstl-plugin-reload-factorio-mod: Reload Factorio mod when developing
• @velin-dev/ml: Use Vue SFC and Markdown to write easy to manage stateful prompts for LLM
• demodel: Easily boost the speed of pulling your models and datasets from various of inference runtimes.
• inventory: Centralized model catalog and default provider configurations backend service
• MCP Launcher: Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models!
• 🥺 SAD: Documentation and notes for self-host and browser running LLMs.

Thanks for the original idea and code: https://github.com/naklecha/factorio-automation