Local LLM
ramalama
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
★ 3.1k starsMIT
View guide →Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
ext-apps is an open-source local llm project by modelcontextprotocol (modelcontextprotocol/ext-apps on GitHub). It has 2,895 GitHub stars and 393 forks, is released under the Unknown license, and was last updated on GitHub on 25 September 2026.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Download the source and move into the project folder.
git clone https://github.com/modelcontextprotocol/ext-apps.git
cd ext-appsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at modelcontextprotocol/ext-apps with 393 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
Close on many tasks now; frontier cloud models still lead on hard reasoning.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
Run frontier AI locally.
Secure MCP runtime letting AI agents operate your local machines.
Local codebase intelligence CLI and MCP for coding agents.
18 Google Maps tools and 3 agent skills over MCP or CLI.
A local-first 3-in-1 AI memory layer and MCP server.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if ext-apps is not the right fit.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Free and open — grab the source, star the repo, and start creating.