EmbeddedLLM/JamAIBase
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
This tool helps AI application builders or prompt engineers design, test, and manage large language model (LLM) applications using a familiar spreadsheet-like interface. You can input data, prompts, and model configurations into cells, chain them together to create workflows, and get back real-time evaluated LLM responses. It's ideal for anyone looking to quickly experiment with different LLMs, embed knowledge, and build sophisticated AI-powered features for their applications.
1,084 stars. Actively maintained with 10 commits in the last 30 days.
Use this if you need to quickly prototype, evaluate, and manage LLM-powered features or chatbots without dealing with complex backend infrastructure.
Not ideal if you're looking for a low-code tool that doesn't require any understanding of LLM concepts or prompt engineering.
Stars
1,084
Forks
39
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 06, 2026
Commits (30d)
10
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