JARVIS
JARVIS connects large language models (LLMs) with the machine learning community, enabling the development of AI applications through a unified interface
- •You need to integrate multiple LLMs into your application
- •Your project requires collaboration between data scientists and language model experts
- •You want to leverage pre-trained LLMs for tasks like text classification, sentiment analysis, or language translation
python app.py --model-name t5-base --task text-classification --input-text 'This is a sample text'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/jarvis && curl -fsSL https://workflowstacks.com/api/skills/jarvis/claude-skill -o ~/.claude/skills/jarvis/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
JARVIS is a medium Python project (~8.3k lines across 39 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 13 months ago, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
- 2easytool/main.pyWhere the program starts running
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/jarvis && curl -fsSL https://workflowstacks.com/api/skills/jarvis/claude-skill -o ~/.claude/skills/jarvis/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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