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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
No-code AI workflow. Drag and drop workflow nodes and use your workflow with your AI agents.
| Date | Stars |
|---|---|
| 2026-07-24 | 941 |
| 2026-07-25 | 941 |
| 2026-07-28 | 941 |
| 2026-07-30 | 941 |
| 2026-08-06 | 940 |
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English | [简体中文](README_zh.md) | [日本語](README_ja.md) [](https://vectorvein.ai) # 🔀 VectorVein Build your automation workflow with the power of AI and your personal knowledge base. Create powerful workflows with just drag and drop, without any programming. [](https://github.com/AndersonBY/vector-vein) VectorVein is a no-code AI workflow software inspired by [LangChain](https://github.com/hwchase17/langchain) and [langflow](https://github.com/logspace-ai/langflow), designed to combine the powerful capabilities of large language models and enable users to easily achieve intelligent and automated workflows for various daily tasks. ## 🌐 Online Experience You can experience VectorVein's online version [here](https://vectorvein.ai/en), with no need to download or install. Official website [Online Documentation](https://vectorvein.ai/help/docs/introduction) ## 📦 Installation and Configuration ### Installation After downloading VectorVein from [Release](https://github.com/AndersonBY/vector-vein/releases/), the program will create a "data" folder in the installation directory to store the database and static file resources. VectorVein is built using pywebview, based on the webview2 kernel, so you need to install the webview2 runtime. If the software cannot be opened, you may need to download the webview2 runtime manually from [https://developer.microsoft.com/en-us/microsoft-edge/webview2/](https://developer.microsoft.com/en-us/microsoft-edge/webview2/) > [!IMPORTANT] > If the software cannot be opened after decompression, please check if the downloaded compressed package .zip file is locked. You can solve this problem by right-clicking the compressed package and selecting "Unblock". ### Configuration Most workflows and agents in the software involve the use of AI large language models, so you should at least provide a usable configuration for a large language model. For workflows, you can see which large language models are being used in the interface, as shown in the image below.  #### API Endpoint Configuration Starting from v0.2.10, VectorVein separates API endpoints and large language model configurations, allowing multiple API endpoints for the same large language model.  After the software opens normally, click the open settings button, and you can configure the information for each API endpoint as needed, or add custom API endpoints. Currently, the API endpoints support OpenAI-compatible interfaces, which can be connected to locally running services such as LM-Studio, Ollama, vLLM, etc. > The API Base for LM-Studio is typically http://localhost:1234/v1/ > > The API Base for Ollama is typically http://localhost:11434/v1/ #### Remote Large Language Model Interface Configuration Please configure the specific information for each model in the `Remote LLMs` tab.  Click on any model to set its specific configuration, as shown below.  > The `Model Key` is the standard name of the large model and generally does not need to be adjusted. The `Model ID` is the name used during actual deployment, which usually matches the `Model Key`. However, in deployments like Azure OpenAI, the `Model ID` is user-defined and therefore needs to be adjusted according to the actual situation. > > Since the model IDs from different providers for the same model may vary, you can click the `Edit` button to configure the specific model ID under this endpoint, as shown in the figure below. > >  #### Custom Large Language Model Interface Configuration
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Anderson · Vector Vein · China
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Ikko Eltociear Ashimine · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0efc691d22d79084, topic:workflow, desc:drag and drop, readme:drag and drop