Directory

Inference

Reviewed resources in Inference. 770 resources listed.

770 listings in Inference

  • NobodyWho

    nobodywho.ai

    An on-device inference engine for running LLMs locally and efficiently on any device, with bindings for Godot, Kotlin, Swift, React Native, Flutter and Python.

  • BrowserAI

    browserai.dev

    A JavaScript SDK that runs large language models, speech recognition, text-to-speech and audio separation directly inside the browser using WebGPU, with no server required.

  • An open-source hardware guide, with parts lists, CAD and assembly photos, for building your own local machine to run large language models instead of renting inference from a cloud provider.

  • Laya-CoreML

    github.com

    A Core ML and Apple Neural Engine port of the Laya typed-decision model, which answers structured choice, ordinal-score and yes/no questions in a few milliseconds without generating text tokens.

  • llama.vscode

    github.com

    A VS Code extension that adds local, LLM-assisted code completion, chat and an agentic coding assistant backed by llama.cpp.

  • ExLlamaV3

    github.com

    An inference and quantization library for running large language models locally on consumer GPUs, with its own EXL3 quantization format and flexible parallel inference.

  • GuideLLM

    vllm-project.github.io

    An SLO-aware benchmarking platform that simulates realistic workloads against OpenAI-compatible and vLLM-native servers to measure LLM deployment latency, throughput and capacity limits.

  • Wally

    github.com

    A command-line tool for downloading and running open-source language models such as GLM, DeepSeek and Qwen locally, or on hosted infrastructure when a job needs more capacity.

  • xLLM

    xllm-ai.com

    A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for Chinese AI accelerators and donated to the OpenAtom Foundation.

  • vllm-mlx

    vllm-mlx.is-a.dev

    A vLLM-style inference server for Apple Silicon that adds continuous batching, paged and prefix KV caching, and both OpenAI and Anthropic-compatible APIs in one process.

  • An Intel post-training quantization toolkit that compresses large language and vision-language models to two to four bits with minimal accuracy loss, using sign-gradient descent.

  • Atomic Chat

    atomic.chat

    A local desktop and mobile app that runs open-weight LLMs offline and exposes them through a drop-in, OpenAI-compatible local API for agents, CLIs and IDE plugins.

  • Alpaca

    jeffser.com

    A beginner-friendly GNOME desktop client for chatting with local Ollama models or third-party providers such as Gemini and ChatGPT, with image and document recognition.

  • A native Zig inference server for Apple Silicon that serves MLX and GGUF models behind OpenAI- and Anthropic-compatible APIs, alongside image, video, speech and 3D generation.

  • An unofficial, community desktop client for chatting with Claude and other LLM providers, built with Tauri, Rust and React, with local chat history, MCP tools and multi-agent orchestration.

  • HyperQwen

    github.com

    A patched vLLM serving setup and requantization pipeline that runs a large Qwen model on a single consumer GPU, with an OpenAI-compatible API in single-user or batch modes.

  • React Native ExecuTorch

    docs.swmansion.com

    An on-device AI inference library for React Native, built on Meta's ExecuTorch runtime, that runs machine learning models on a phone with no network calls.

  • InferenceX

    inferencex.com

    An open-source, continuously updated benchmark research platform that tracks real-world inference performance of popular open-source serving frameworks such as vLLM, SGLang and TensorRT-LLM across current GPU hardware and models.

  • vLLM Metal

    docs.vllm.ai

    A community-maintained vLLM hardware plugin that runs high-performance LLM inference on Apple Silicon Macs using MLX as the compute backend.

  • TurboQuant

    github.com

    A KV-cache compression method for LLM inference that quantizes cached keys to 3 bits and values to 2 bits using Triton kernels, integrated with vLLM to cut memory use and raise usable context length.

  • Local Studio

    localstudio.ai

    A local-first control panel for running and managing self-hosted LLM backends such as vLLM, SGLang, llama.cpp and ExLlamaV3, with GPU monitoring, an OpenAI-compatible chat proxy, and agent sessions against local or remote controllers.

  • Neo Chat

    neo.u14.app

    A local-first, self-hostable AI chat workspace that brings multi-model chat, an agent mode for multi-step tool workflows, and deep research with reviewable plans into one app, keeping conversation history in the browser by default.

  • Ollama App

    github.com

    A cross-platform client app for Ollama that connects to an existing Ollama server over its API, without hosting a model server on the device itself.

  • uzu

    trymirai.com

    A high-performance, cross-language inference engine that runs AI models directly inside an app with low latency, full data privacy and no per-inference API cost, using unified memory on Apple devices.