Self-hosted AI tools

Black Forest Labs' open-weights image model — rivals Midjourney quality.

Stateful, graph-based agent orchestration from LangChain.

Data framework for connecting LLMs to your data.

Python framework for multi-agent orchestration.

Open-source image generation — run anywhere, fine-tune anything.

Open-source agentic coding assistant that plans, edits, and runs code inside your IDE

Hybrid vector + keyword search in the enterprise-grade Elasticsearch engine

OpenAI's open-source speech-to-text — the de-facto baseline.

Open-source RAG framework for building custom AI assistants over your own documents in a few lines of Python.

Open-source vector DB with hybrid search and modules.

End-to-end MLOps and GenAI platform with open-source experiment tracking and enterprise GPU orchestration.

Open-source Python-native orchestration platform for AI, ML, and data workflows at production scale.

Open-source LLM observability — one-line proxy install.

The broad LLM application framework — chains, agents, retrievers.

Meta's open-weight LLM family covering 1B mobile models up to 405B frontier and natively multimodal 10M-context Llama 4 variants.

Meta's open-weights LLM family that put serious frontier-adjacent models in everyone's hands.

Desktop app for discovering, downloading, and running open-weight LLMs locally with an OpenAI-compatible server.

Source-available workflow automation with first-class AI-agent and RAG building blocks.

Open-source text-to-SQL agent that learns your schema and writes queries against your real warehouse.

Open-source high-throughput inference engine for serving LLMs with PagedAttention and continuous batching.

Meta's open-source research toolkit for generating music and sound effects from text via a single autoregressive language model.

Open-source framework and managed platform for serving and scaling AI models in production.

Open-source browser automation harness and cloud platform for LLM agents that drive real websites.

Open-source feature store that serves consistent features to ML training and online inference, with RAG vector search built in.

Open-source data quality framework for validating the datasets that feed your ML and analytics pipelines.

Open-source multi-channel AI agent with persistent memory, scheduling, and subagent delegation from Nous Research.

Open-source desktop ChatGPT alternative that runs local LLMs and routes to cloud providers from one app.

Open-source multimodal lakehouse and vector database built for AI training and retrieval at petabyte scale.

Open-source, self-hostable ChatGPT-style frontend that brings every major LLM provider under one roof.

Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.

Privacy-first desktop AI workspace that runs local and cloud models side by side.

Open-source high-throughput inference engine for LLMs and multimodal models with OpenAI-compatible serving.

Open-source visual workspace for building, deploying, and monitoring AI agents.

Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.

Yahoo's open-source search engine with vector + sparse retrieval.

Embedded, developer-friendly vector store for Python.

Semantic layer that grounds LLM agents in your real business metrics instead of letting them hallucinate SQL.

Open-source visual builder for LangChain-style AI agents and RAG pipelines.

Self-hosted OpenAI-compatible API for running LLMs, image, and audio models on your own hardware.

Open-source TypeScript framework for building, deploying, and observing AI agents and workflows.

Open-source platform for tracking, evaluating, and deploying ML models and LLM applications.

Open-source Python framework for automated hyperparameter optimization across any ML stack.

Open-source desktop AI assistant that wires every major LLM provider into one local app with agents, vision, and a code interpreter.

Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.

Open-source Python library for distributed hyperparameter tuning at any scale.

Packs an entire codebase into a single AI-friendly file so LLMs can actually read your repo.

Open-source text-to-video model (Mochi 1) with a hosted playground for turning prompts into short clips.

Open-source autonomous coding agent that plans, edits, and ships changes across real codebases.