poorcoder provides Bash scripts that connect web-based AI interfaces with a terminal coding workflow.
Open source
24 alternativesllama.cpp
llama.cpp runs open models locally on a computer through the llama.cpp project.
About llama.cpp
llama.cpp provides an app for Mac and Windows that runs open models on the computer. Users can chat with models in a browser through Open chat, or connect coding agents, editors, and scripts to a local API at localhost:9931/v1 that works with OpenAI-compatible tools. The app selects model settings based on the computer, stores each model once in the Hugging Face cache, and works offline. Linux is supported through a command-line install, and models load on request and unload after 5 minutes idle.
Key features
- Chat with downloaded models in browser via Open chat
- Local API at localhost:9931/v1 for agents and editors
- One-click model install with automatic memory-based settings
- Shared Hugging Face cache so each model stored once
- Models load on request and unload after 5 minutes idle
- Command-line install option for Linux and plain-text settings file
Best for: People who want to run open models on their own computer and use them from chat and coding tools.
Good for
- Works offline according to homepage description
- Open source with public GitHub repository
- Automatically selects settings based on computer memory
Watch out for
- Desktop app described for Mac and Windows 11; Linux uses command-line version
- Model use depends on available memory and disk space for the selected model
llama.cpp at a glance
- Website
- llama.app
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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llama.cpp FAQ
How do apps connect to Llama?
Point apps that work with OpenAI to localhost:9931/v1.
How is Llama installed on Linux?
Run: curl -LsSf https://llama.app/install.sh | sh
Where are models stored?
In the Hugging Face cache, shared with llama.cpp and other tools.
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