I built GemmaPod - A truly composable and portable AI agent solution powered by your local LLM
Raj Kushawaha has developed GemmaPod, a portable AI agent platform that integrates local Large Language Models into a single file. This solution allows for easy mixing of tools and personas while ensuring data privacy. GemmaPod utilizes DARTC for real-time communication with local LLMs, enhancing the usability of AI agents.
- ▪GemmaPod packages AI agents into single, signed HTML+JS+WASM files, making them portable and composable.
- ▪The platform allows users to connect to local LLMs while keeping data private on their machines.
- ▪GemmaPod includes built-in support for complex workflows and can run entirely in a user's browser.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3311628) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Raj Kushawaha Posted on May 24 I built GemmaPod - A truly composable and portable AI agent solution powered by your local LLM #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Build With Gemma 4 Submission What I Built GemmaPod is a composable, portable AI agent platform that packages local Large Language Models into single, signed HTML+JS+WASM files (~960 KB).
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