laoposkj

laoposkj / multi-modal-agent-ts

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TypeScript multimodal AI agent: GPT-4o / Claude / Gemini + Whisper + Ollama (LLaVA). REST API, streaming, Docker. Vision, audio & text in one flow.

ai-agent anthropic claude computer-vision google-gemini
10
0
100% credibility
Found Apr 18, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A TypeScript library and server for creating AI agents that process and respond to combined text, image, and audio inputs using various multimodal AI models.

How It Works

1
🔍 Discover the smart AI helper

You hear about this cool tool that lets an AI understand pictures, voice notes, and text questions all in one go.

2
📥 Set it up on your computer

Download the files and prepare it quickly so it's ready to use right away.

3
🔌 Connect an AI brain

Link it to a thinking service like a cloud AI or a local one running on your machine to give it smarts.

4
Pick your starting point
💬
Quick chat test

Type a question with a photo or voice clip and see instant results.

🌐
Web service

Start a service that accepts inputs from anywhere via simple web requests.

🧩
Build into app

Use it inside your program to add multi-sense understanding.

5
📸 Add your pictures, sounds, or words

Share images from files or web, audio recordings, or type what you want analyzed.

6
✨ See the AI combine everything

It transcribes your voice, describes the images, blends with your question, and streams back clever insights.

🎉 Enjoy perfect understanding

You get a complete, helpful answer that ties together sight, sound, and text effortlessly.

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Star Growth

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AI-Generated Review

What is multi-modal-agent-ts?

This TypeScript library builds a multi-modal agent that fuses text, images, and audio into one AI flow using GPT-4o, Claude, Gemini, Whisper, or local Ollama like LLaVA. Developers get a ready-to-run REST API at POST /process for JSON or multipart uploads, streaming responses, a CLI for quick tests, and Docker support—clone, npm install, npm run dev, and handle vision, audio transcription, or mixed inputs without custom boilerplate. It's a practical TypeScript GitHub example for agent APIs, with helpers for mic recording and video frame/audio extraction via ffmpeg.

Why is it gaining traction?

It stands out by simplifying multi-modal pipelines—no separate services for Whisper transcription or vision models—with configurable backends (cloud or local) and streaming chunks for transcripts, images, and answers. The Vercel AI SDK powers seamless provider switching, plus Docker and no-build dev mode make prototyping fast, unlike fragmented TypeScript GitHub SDK wrappers or heavy frameworks. Low-key hooks like optional local Whisper and Ollama draw devs eyeing cost-free flows.

Who should use this?

Backend devs prototyping AI chat apps with user uploads (images, voice notes, videos). TypeScript GitHub Actions users integrating multi-modal logic into workflows, or full-stack teams building agent APIs for audio/vision analysis without vendor lock-in. Skip if you need production-scale orchestration.

Verdict

Worth a spin for TypeScript GitHub Copilot fans or quick multi-modal proofs—solid docs, tests, and 1.0% credibility score reflect its 10-star youth, but MIT license and Docker make it low-risk to fork. Mature enough for side projects, not enterprise yet.

(198 words)

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