- Tokyo, Japan
- https://www.linkedin.com/in/hironsan
- @Hironsan13
Stars
A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 76+ formats. Available for Rust, Python, Rub…
Responses API on Azure OpenAI samples
Python DDD & Onion Architecture Example and Techniques
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.
Multilingual Document Layout Parsing in a Single Vision-Language Model
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minute…
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and yo…
A Python implementation of John Gruber’s Markdown with Extension support.
Supercharge Your LLM with the Fastest KV Cache Layer
Easily automate the translation of your documentation into multiple languages, powered by Azure AI Services
A collection of sample agents built with Agent Development Kit (ADK)
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
[ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Matplotlib styles for scientific plotting




