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A terminal-native coding agent built with Rust, designed for DeepSeek V4 models with 1M-token context. Features thinking-mode streaming, full tool suite (file ops, shell, git, MCP, sub-agents), three working modes (Plan/Agent/YOLO), session save/resume, LSP diagnostics, and a durable task queue — all in a single binary with no Node.js or Python dependency.

Rust
20.9k

DFlash is a block diffusion model for speculative decoding, enabling parallel drafting with up to 6x lossless LLM acceleration. Supports vLLM, SGLang, Transformers, and MLX backends.

Python
3.6k

InsForge is an AI-native backend platform that provides databases, authentication, storage, and edge functions through a semantic layer that AI coding agents can understand and operate end-to-end.

TypeScript
9.0k

A privacy-first AI research assistant that runs entirely locally. Supports Ollama, llama.cpp, LM Studio, and cloud LLMs; integrates 10+ search engines (arXiv, PubMed, SearXNG, Wikipedia). All data stored in SQLCipher-encrypted databases with zero telemetry. Ideal for academic research, technical investigations, and building searchable knowledge bases with auto-generated, citation-backed reports.

Python
6.5k

Production-grade engineering skills for AI coding agents.

Shell
33.7k

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents, enabling LLMs to perform human-like, agentic retrieval without vector databases or chunking.

Python
29.9k

Open Agents is an open-source reference app by Vercel Labs for building background coding agents. It features a chat-driven AI coding workflow with isolated sandbox execution, durable multi-step tasks, GitHub integration for auto-commit and PR creation, and a web UI—going from prompt to code changes without keeping your laptop on.

TypeScript
5.2k
docusealco/docuseal

An open-source digital document signing and processing platform. Create PDF forms with a WYSIWYG builder, support 12+ field types, enable multi-party online signing, and integrate via API/Webhooks. Mobile-optimized, supports 14 languages, and deployable via Docker in minutes.

Ruby
15.8k

Top Repositories

The most popular repositories on GitHub.

1

A comprehensive collection of step-by-step tutorials for rebuilding popular technologies from scratch. Covers databases, operating systems, programming languages, web servers, AI models, and more across multiple languages. Perfect for developers seeking to deeply understand core tech principles through hands-on implementation.

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.