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ComfyUI

Comfy Org · Voice, vision & multimodal AI

Open-source node-based interface and inference engine for diffusion and other generative models (image, video, audio, 3D), runnable locally with desktop apps or as a hosted cloud

GPL-3.0-onlyOpen sourceFreeLocalNov 2, 2026

exo

Exo Labs · Distributed & parallel computing

Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX

Apache-2.0Open sourceFreeLocalSelf-hostedNov 2, 2026

llama.cpp

ggml-org (Georgi Gerganov and contributors) · Local LLM inference & serving

In-depth entry

C/C++ inference engine for LLMs and vision-language models with GGUF quantized weights, Metal, CUDA, Vulkan and other backends, a CLI and an OpenAI-compatible server

MITOpen sourceFreeLocalSelf-hostedNov 2, 2026

MLX

Apple Inc. · Apple Silicon ML & MLX

In-depth entry

Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory

MITOpen sourceFreeLocalNov 2, 2026

Ollama

Ollama · Local LLM inference & serving

In-depth entry

Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models

MITOpen sourceFreeLocalSelf-hostedNov 2, 2026

Ray

Ray project (Anyscale and contributors) · Distributed & parallel computing

In-depth entry

Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning

Apache-2.0Open sourceFreeLocalSelf-hostedBroken

Transformers

Hugging Face · Training & fine-tuning

Hugging Face's model-definition library for text, vision, audio, video and multimodal models, with Pipeline, Trainer and generate APIs used as the reference by training and inference engines

Apache-2.0Open sourceFreeLocalSelf-hostedNov 2, 2026

Unsloth

Unsloth AI · Training & fine-tuning

Open-source framework for fine-tuning and running LLMs with reduced memory, covering LoRA, QLoRA, full fine-tuning and RL, GGUF export, Dynamic quantizations and a local Studio/Desktop UI

Apache-2.0Open sourceFreeLocalSelf-hostedNov 2, 2026

vLLM

vLLM project (originated at UC Berkeley Sky Computing Lab) · Local LLM inference & serving

In-depth entry

High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters

Apache-2.0Open sourceFreeSelf-hostedNov 2, 2026

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