
In simple English
Coze Studio is a platform for building smart artificial intelligence assistants. You can connect large language models, documents, and external tools in a visual workspace. It lets you test workflows and publish chat bots without writing much code. You host it yourself on your own server using Docker (a way to run a program inside its own sealed box, so it cannot break anything else on your server). The software is free to run, but you pay for the server and the AI model calls.
What it is
An open-source workspace for creating AI agents, workflows, and plugins with a visual drag-and-drop canvas. The backend uses Go (a programming language designed for fast network services) and the frontend uses TypeScript (a programming language that adds safety rules to JavaScript).
What it is good for
Solo builders who want to create customized AI chat bots and automated workflows connected to their own data sources without coding everything from scratch.
- Visual canvas makes building multi-step AI workflows straightforward.
- Includes support for RAG (a technique that lets an AI search your own documents before answering) and third-party plugins.
- Comes with ready-to-use app templates to speed up development.
- Requires Docker and at least 4 GB of memory to run properly.
- Public server deployments carry documented security risks that you must configure carefully.
- Requires external API keys and model configurations before it works.
Building custom AI agent infrastructure and chat interfaces from scratch
Docker
- langflow-ai/langflow156k stars
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- ggml-org/llama.cpp132k stars
A C and C++ library and command-line tool for running language models locally.
- EleutherAI/lm-evaluation-harness14k stars
Runs standard question sets against a language model and reports the scores.
- mudler/LocalAI50k stars
Serves text, vision, speech, image and video models from one self-hosted service that imitates the paid interfaces.
git clone https://github.com/coze-dev/coze-studio.git cd coze-studio make web