Hands-On-AI-Engineering is a Python-based repository with 2851 stars and 0 releases, containing a curated set of AI projects across agents, OCR, audio, multimodal, and RAG applications intended for practical, production-ready implementations.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
A curated collection of practical AI projects across multiple modalities, including language models, multimodal models, OCR systems, RAG pipelines, and AI agents. Each project includes code, setup instructions, and documentation for learning, experimentation, and real-world adaptation.
How it works
Projects span various categories:
- AI Agents: multi-agent workflows with shared memory, chain-of-thought style evaluations, and local persistence.
- OCR: extraction and structuring of data from images and documents, including structured outputs and LaTeX support.
- Audio: tasks related to transcription, translation, and voice agent interactions.
- Multimodal: integration of vision, text, and audio for tasks like document extraction and video understanding.
- RAG Applications: retrieval-augmented generation pipelines combining web or document sources with generation capabilities.
- Fine-Tuning: projects for training or adapting models for specific tasks.
Each project typically provides code, setup instructions, and documentation to deploy or experiment locally or with provided tooling.
Getting started
From the README excerpt, the repository presents a general top-level structure and contributor guidance:
- Project categories and individual project links under each category (AI Agents, OCR, Audio, Multimodal, RAG Applications, Fine-Tuning).
- Getting started and contributing sections are mentioned, with guidelines to follow structure, include requirements, and provide environment files. Direct installation or usage commands are not listed in the excerpt beyond implied structure and README requirements.
Commands and setup specifics are not provided in the excerpt, so no exact install/usage commands can be quoted here.
Recent releases
The latest releases section lists: "latest 0: - none" indicating there are no releases documented in RELEASES for this repo.
Traction
The repository has 2851 stars and 759 forks, with 8 open issues. Creation date is 2025-02-24, last push 2026-07-31.
Behind the repo
No linked startup or company information is present in the provided facts. Thus, this section is omitted.
Caveats
- license: MIT is shown in the README banner, but the top-level license field in the facts shows "none listed"; the explicit license file/clarification is not provided in the facts.
- created date, last push date are provided, but no explicit open issues status beyond 8.
- No specific open issues or known bugs are described in the provided facts.