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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Healthy Diet AI Agent is a Bun + TypeScript backend for nutrition chat, food-image analysis, RAG document ingestion, and knowledge-grounded diet guidance.
| Date | Stars |
|---|---|
| 2026-07-31 | 733 |
| 2026-08-01 | 741 |
| 2026-08-06 | 741 |
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# Healthy Diet AI Agent         English | [日本語](README_jp.md) | [繁體中文](README_zh.md) Healthy Diet AI Agent is a Bun + TypeScript backend for nutrition and healthy diet support. It features chat, food image analysis, RAG document knowledge retrieval, knowledge graph, and MOHW (Ministry of Health and Welfare) data synchronization. This repository now supports two deployment modes: - Standalone mode: uses SQLite, runs independently via Docker, HTTP API, or terminal CLI - Integration mode: uses Supabase, maintaining the ability to integrate with the existing `health-diet-api` ecosystem ## Tech Stack - Runtime: `Bun` - Language: `TypeScript` - HTTP Server: `Express` - Agent Framework: `LangChain`, `LangGraph`, `DeepAgents` - Storage: `SQLite` or `Supabase` - AI Integration: OpenAI-compatible API routing, with optional Google Gemini routing - Deployment: `Docker Compose` ## Core Features - Nutrition chat assistant for dietary advice, meal planning, and nutrition Q&A - Food image analysis workflow supporting meal understanding and nutrition-guided interactions - RAG document search and document management to organize and query nutrition knowledge documents - Version-Aware & Policy-Aware RAG evaluation engine for resolving multi-version dietary guideline temporal conflicts - PDF processing tool (`src/rag_clean/pdf_to_clean_markdown.py`) for converting official guideline PDFs into structured Markdown with prose tables - Knowledge graph extraction and search to establish structured health and diet knowledge relations - MOHW data sync pipeline for importing public clarification and reference content - Flexible deployment modes supporting SQLite, Supabase, HTTP API, and CLI ## Planned Features - Personalized dietary suggestions based on user profiles, preferences, and historical records - Enhanced multimodal meal analysis for richer food context understanding and grounded responses - Expanded admin and ingestion tooling for knowledge curation, review, and operations - Advanced multi-step agent workflows to improve retrieval, reasoning, and task automation ## Project Background This project was originally built to complement the following two projects: - [`PU-Hub/healthy-diet`](https://github.com/PU-Hub/healthy-diet) as the API-side project - [`archie0732/healthy-diet-web`](https://github.com/archie0732/healthy-diet-web) as the frontend Web project As this repository started receiving more attention and views, the project's direction was adjusted. While keeping the ability to integrate with the original stack, we are gradually refactoring this repository into a standalone, independently deployable AI agent service. ## Highlights - Switchable storage backend: `sqlite` or `supabase` - Policy-Aware & Version-Aware RAG framework with parameterizable retrieval rules - Automated PDF-to-Markdown conversion tool preserving table prose descriptions - Directly deployable independently, without relying on `health-diet-api` - Provides both HTTP API and terminal CLI - Docker default is standalone SQLite mode - Supports local knowledge base and uploaded document ingestion - Retains Supabase integration, suitable for reconnecting to the original pro
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a2b40b61ac41a791, topic:agentic-ai, name:ai agent, desc:ai agent
matched fp:a2b40b61ac41a791, topic:rag