BYOAIK — Bring Your Own AI Key: a directory of AI tools that run on your own API key.

Langflow

Open-source visual builder for AI agents and RAG workflows on a node canvas.

Website Source code

Category:

Agent Frameworks

Pricing:

Open Source

Open source:

Yes (MIT)

Self-hostable:

Yes

Local-first:

Yes

Platforms:

Web, Self-hosted, Library/SDK, Docker

AI providers (bring your own key):

OpenAI, Anthropic, Google Gemini, Azure OpenAI, Groq, Mistral, Cohere, Ollama, Custom / OpenAI-compatible

API key storage:

User controls deployment

Key risk level:

LOW

Trust score:

95/100

Langflow is an open-source, low-code visual framework for building multi-agent and RAG applications by wiring components together on a drag-and-drop node canvas. Users bring their own AI provider keys: each model/agent component has an API Key field where you paste your provider's key and pick the model, and v1.8+ added a centralized Model Providers settings pane to configure a provider and key once for the whole instance. Keys can also be stored as reusable "Credential" global variables or supplied via environment variables. It supports OpenAI, Anthropic, and Google natively in the model dropdown, local models via Ollama and LM Studio, additional providers (Azure OpenAI, Cohere, Mistral, NVIDIA, etc.) through bundles, and any OpenAI-compatible endpoint via custom components. It can be self-hosted (pip/Docker), run as a Python library/SDK, and exposes flows as APIs.

How your API key is handled

You self-host the app, so your API key lives in your own deployment. Requests are sent directly to the AI provider. Because it can be self-hosted, your key never has to touch a third-party backend.

Setup

Deploy it (Docker/compose), add your provider API key in the admin or environment config, then select models.