注目の AI オープンソースプロジェクトをひとつに

User-friendly self-hosted AI interface supporting Ollama, OpenAI-compatible APIs, and more.

Zero-config AI chat assistant with 100+ models, available on Web, iOS, macOS, Android, and Linux.

Open-source AI chat framework with agents, plugin ecosystem, and multi-model support.

Enhanced multi-provider ChatGPT clone with agents, MCP, artifacts, and model switching.

The open-source codebase powering HuggingChat, deployable with any inference backend.

Run large models locally with a single command — LLMs, vision, and embeddings on any machine.

LLM inference in C/C++ with quantization — runs models on CPU, GPU, and edge devices.

High-throughput, memory-efficient inference and serving engine for LLMs with PagedAttention.

AI gateway to call 100+ LLM APIs in OpenAI format with cost tracking, guardrails, and load balancing.

Run any model — LLMs, vision, voice, image, video — on any hardware, no GPU required.

Desktop app for local LLMs with text, vision, tool-calling, and OpenAI-compatible APIs.

High-performance serving framework for large language and multimodal models.

Distribute and run LLMs with a single cross-platform executable file.

Unified, production-ready inference API for open-source LLMs, speech, and multimodal models.

Accessible autonomous AI agents: build and run agents that pursue goals across multi-step workflows.

Build agentic workflows and RAG pipelines in one collaborative workspace, cloud or self-hosted.

Framework for building LLM-powered agents and applications with composable components.

Open-source Python library for AI browser agents with stealth browsers and a hosted agent API.

AI-driven development platform: autonomous agents that write code, run commands, and open PRs.

Microsoft framework for agentic AI: orchestrate multi-agent conversations and workflows.

Framework for orchestrating role-playing autonomous AI agents that collaborate on complex tasks.

Self-driving agent platform for building, running, and monitoring multi-agent systems.

OpenAI's educational framework for ergonomic, lightweight multi-agent orchestration.

Agent-native RAG engine with deep document understanding, from retrieval to context infrastructure.

All-in-one local-first AI agent and document chat app with multi-user support.

Document processing platform for AI: ingest, index, and query your data with LLMs.

Turns continuous content streams into search and monitoring with durable ingestion and hybrid search.

High-performance, massive-scale vector database and search engine written in Rust.

Open-source embedding database built for AI-native search and retrieval.

Open-source RAG tool for chatting with your documents, with clean citations.

Fine-tune and run LLMs and diffusion models 2x faster with far less memory.

Unified efficient fine-tuning of 100+ LLMs and VLMs with a no-code web UI.

Deep learning optimization library that makes distributed training and inference easy and efficient.

State-of-the-art parameter-efficient fine-tuning: LoRA, Prefix Tuning, and more.

Train transformer language models with reinforcement learning: SFT, DPO, PPO, and GRPO.

NVIDIA's framework for training large transformer models at scale.

Streamline fine-tuning of various AI models with YAML-based configs.

The most widely used browser interface for Stable Diffusion image generation.

Powerful modular diffusion GUI and backend with a graph/nodes interface.

Image generation focused on prompting — Simplified, offline, and open source.

Creative engine for Stable Diffusion with a professional studio workflow.

Stability AI's official generative model repositories including SDXL and SV3D.

Systematic open-source framework for large-scale video generation models.

Robust speech recognition model trained on large-scale weak supervision.

Few-shot voice cloning: train a good TTS model from just one minute of voice data.

Deep learning toolkit for text-to-speech, battle-tested in research and production.

Generative speech model optimized for daily dialogue, in Chinese and English.

Text-prompted generative audio model: speech, music, and sound effects.

State-of-the-art open-source text-to-speech with multilingual voice cloning.

Whisper transcription with CTranslate2 — up to 4x faster with less memory.

The model-definition framework for state-of-the-art ML models across text, vision, and audio.

Build and share machine learning demos and apps entirely in Python.

Open-source LLM engineering platform: tracing, evals, and observability for agents.

State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Fast BPE tokenizer for use with OpenAI's models.