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

DeerFlow

ByteDance's open-source super-agent harness for deep research, coding, and content, with bring-your-own-key LLMs.

Website Source code

Category:

Agent Frameworks

Pricing:

Open Source

Open source:

Yes (MIT)

Self-hostable:

Yes

Local-first:

Yes

Platforms:

Web, CLI, Self-hosted, Docker

AI providers (bring your own key):

OpenAI, OpenRouter, Ollama, Custom / OpenAI-compatible

API key storage:

Configured by environment variable

Key risk level:

LOW

Trust score:

93/100

DeerFlow is ByteDance's open-source long-horizon SuperAgent framework that orchestrates sub-agents, search, memory, tools, and sandboxes to handle deep-research, code-generation, and content tasks spanning minutes to hours. It started as a deep-research framework and has expanded into a general multi-agent execution engine. Models are defined in conf.yaml/config.yaml using LangChain-style providers (e.g. langchain_openai:ChatOpenAI) with api_key referencing environment variables such as $OPENAI_API_KEY. The end user supplies their own provider credentials: keys are set in a local .env file (recommended) or exported in the shell, and there is no centralized key management. It is model-agnostic and works with any OpenAI-compatible API, including OpenAI, OpenRouter gateways (with custom base URLs), and local backends like vLLM and Ollama. It ships a web UI (localhost:2026) plus console/CLI usage and is self-hosted via local dev or Docker. Licensed MIT, ~72k GitHub stars, actively maintained by ByteDance (last push June 2026, not archived).

How your API key is handled

Your API key is supplied via an environment variable or local config file. 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

Install the tool, set your provider API key as an environment variable (or in its config file), and pick a model.