automation

JamAIBase: AI Automation

Name: JamAIBase: AI Automation
Author: EmbeddedLLM

Build AI apps with real-time collaboration. For founders, with 1.1k+ GitHub stars.

1,102 stars43 forksPythonQuality 8/10Updated 7/13/2026100% free · open source

What it does

JamAIBase allows founders to build AI apps with real-time collaboration, chaining cells into powerful pipelines and evaluating LLM responses together seamlessly

Install / run

git clone https://github.com/EmbeddedLLM/JamAIBase && cd JamAIBase

When to use it

•When you need to collaborate with team members on AI application development in real-time
•When you want to experiment with prompts and models in a shared, interactive environment
•When you need to evaluate and refine large language model (LLM) responses in a collaborative setting

Quick start

1Run the command `python -m jamai` to start the JamAIBase server
2Open a web browser and navigate to the JamAIBase interface at the specified URL
3Create a new spreadsheet by clicking the 'New Spreadsheet' button and selecting a template or starting from scratch
4Chain cells together to create a powerful pipeline by dragging and dropping cell connections
5Experiment with prompts and models by typing in the prompt cell and selecting a model from the dropdown menu

Ready-to-paste prompt

Create a pipeline with a prompt cell containing 'Write a product description for a new smartwatch' and connect it to a model cell using the 'LLaMA' model to generate a response

Heads up: Make sure you have Python installed on your system, as well as the required dependencies specified in the JamAIBase README, before attempting to run the `python -m jamai` command

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