Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc
Demo scripts for running PrismML's Bonsai 2 small LLMs (2B to 27B) locally on Mac, Linux, Windows, or CPU.
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.
Spark-x2.5 open model series. Pushing the Limits of Agentic Capabilities in On-Device Models
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Production ready toolkit to run AI locally
A C#/.NET library to run LLM (π¦LLaMA/LLaVA) on your local device efficiently.
Control panel for VLLM, Sglang, llama.cpp, exllamav3
Local AI app and inference engine for agents. Run open-weight LLMs locally β private, 100% offline on your computer. Join our Discord: https://discord.com/invite/8wGSsvmg4V
Unified framework for building enterprise RAG pipelines with small, specialized models
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop β all through one unified, production-ready inference API.
State of the Art Natural Language Processing
Open-source AI coding assistant for VS Code. Coding agent, code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
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 production, all through the familiar language of containers.
Instant, controllable, local pre-trained AI models in Rust
Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale ππ¦ Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
The easiest way to use Ollama in .NET
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
The most advanced, fully offline client-side AI suite on Android today.
Running any GGUF SLMs/LLMs locally, on-device in Android
LSP server leveraging LLMs for code completion (and more?)
Fresh builds of llama.cpp with AMD ROCmβ’ 7 acceleration
Go with your own intelligence - Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration on Linux, macOS, Windows, & WebAssembly.
Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.
handwritten harness for AI, not vibecoded, everything is a module/plugin, tailor made for use with local models, tiny system prompt (around 1k by default), support for exclusive llamacpp features, strong security, strict zero-trust-in-the-ai policy (the code hard limits the ai, no amount of prompt engineering will bypass it)
Performance-tuned llama.cpp for AMD Strix Halo (gfx1151): FA + MoE-prefill fixes with a bundled current Mesa driver. Vulkan and HIP; portable dir, Docker, and distrobox.
β‘ Pure-Rust WebGPU inference engine β OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.