Self-hosted AI

Browse open source AI projects by the part of the stack you need to run yourself.

Self-hosted categories

Find the right project by starting with the job you need done.

Each category covers a specific part of a private AI stack, from chat interfaces and model runtimes to retrieval, automation, and developer tools.

Focused lists

Project lists live on their category pages, so each page stays easier to scan and compare.

Clear separation

Chat apps, runtimes, RAG tools, vector stores, workflows, and coding tools are grouped by purpose.

How to browse

Start with the use case
Decide whether you need an interface, a runtime, retrieval, automation, or developer tooling.
Then compare projects
Open the matching category for curated repositories and short notes on when each option fits.

Chat UI

Chat interfaces and assistant apps you can run with local models, private endpoints, or your own hosted providers.

Best when users need a private assistant with conversation history, file upload, model switching, browser access, or desktop-first local chat.

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Run models

Inference servers and local runtimes for serving models on your machine, server, or private cloud.

Best when you need local LLMs, GGUF support, OpenAI-compatible APIs, or higher-throughput serving.

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Private docs

Knowledge-base apps, retrieval frameworks, and document pipelines for private data and production AI systems.

Best when you are building document chat, enterprise search, data connectors, or custom retrieval pipelines.

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Retrieval infra

Databases and search layers for embeddings, metadata filtering, persistence, and semantic retrieval.

Best when retrieval needs to be reliable, searchable, filtered, and separate from the application layer.

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Automation

Agent frameworks, workflow engines, and app builders for repeatable AI-powered processes.

Best when the work involves tool calls, multi-step flows, internal apps, or coordinated agents.

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Code

Coding assistants and repo-aware tools that can run locally or inside private development environments.

Best for code completion, terminal pair programming, repository chat, and model-flexible coding assistance.

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