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MarkItDown is a lightweight Python utility by Microsoft for converting various file formats (PDF, Office docs, images, audio, etc.) to Markdown. Designed for LLMs and text analysis pipelines, it preserves document structure like headings, lists, tables, and links while remaining token-efficient.

Python
98.7k

Archon is an open-source workflow engine for AI coding agents. Define your development processes as YAML workflows—planning, implementation, testing, code review, PR creation—and run them deterministically across all projects. It supports CLI, Web UI, Slack, Telegram, Discord, and GitHub, with git worktree isolation for parallel execution and a visual drag-and-drop workflow builder.

TypeScript
15.1k

An open-source self-improving AI agent framework by Nous Research. Features persistent cross-session memory, autonomous skill creation, 40+ integrated tools, and multi-platform support. The agent learns from experience and grows smarter with each interaction.

Python
50.7k

Open-source AI coworker, with memory

TypeScript
11.6k

The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.

TypeScript
5.5k

A Claude Code plugin inspired by Andrej Karpathy's observations on LLM coding pitfalls. Provides four principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—to reduce overcomplication, prevent unwanted code changes, and ensure verifiable results when using AI for development.

11.4k

Kronos is the first open-source foundation model for financial K-lines (candlesticks), trained on data from over 45 global exchanges. It uses a two-stage tokenizer + Transformer architecture to perform price prediction, support fine-tuning on custom markets, and enable quantitative backtesting workflows.

Python
12.6k

DeepTutor is an agent-native personalized learning assistant that unifies chat, multi-agent problem solving, quiz generation, deep research, and math animation in one workspace. With persistent TutorBots, AI co-writing, guided learning paths, and RAG-powered knowledge management, it adapts to how you learn.

Python
15.7k

Open-source PDF parser for AI-ready data extraction. Extracts structured Markdown, JSON with bounding boxes, and HTML from any PDF. #1 benchmark accuracy (0.90 overall). Automates PDF accessibility compliance with auto-tagging.

Java
14.6k

Top Repositories

The most popular repositories on GitHub.

1

A curated collection of step-by-step tutorials teaching developers how to rebuild popular technologies from scratch. Covering 30+ topics including databases, compilers, operating systems, and game engines, it helps you master programming by creating your own versions of tools like Git, Docker, and Redis.

2

A curated list of awesome lists covering all kinds of interesting topics. This meta-list serves as the central directory for discovering high-quality resources on programming languages, frameworks, tools, and various technology domains.

3

freeCodeCamp.org's open-source codebase and curriculum. A friendly community where you can learn to code for free through thousands of interactive coding challenges, helping over 100,000 people land their first developer job.

4

A collectively curated list of free public APIs for software and web development. This extensive repository contains thousands of APIs across 100+ categories including animals, finance, health, music, news, science, sports, weather, and more. Maintained by the community and APILayer team.

5

A collaborative, multilingual collection of freely available programming books, courses, podcasts, and interactive tutorials. Maintained by the Free Ebook Foundation, it indexes thousands of learning resources across numerous programming languages and computer science topics.

6

OpenClaw is a self-hosted personal AI assistant that connects to WhatsApp, Telegram, Discord, iMessage and 20+ channels. Features voice wake, live canvas, browser automation, and runs on any OS with local-first privacy.

7

Community-driven interactive roadmaps, guides, and resources for developers. Covers frontend, backend, DevOps, AI, and more with clickable nodes for detailed learning paths and best practices.

8

Learn how to design large-scale systems. Prep for the system design interview. An organized collection of resources covering scalability, performance, availability, and common system design patterns with solutions and Anki flashcards.

9

A comprehensive computer science study plan for software engineering interviews. Covers data structures, algorithms, system design, and coding problems to prepare for tech giants like Google, Amazon, and Facebook.

10

A curated list of awesome Python frameworks, libraries, software and resources. Covers web frameworks, data analysis, machine learning, testing, and more.