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2D and 3D physics engines focused on performance.
Basic Polkadot/Substrate UI for interacting with a Polkadot and Substrate node. This is the main user-facing application, allowing access to all features available on Substrate chains.
Supercharge Your LLM with the Fastest KV Cache Layer
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
aider is AI pair programming in your terminal
A tree-sitter language pack
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
ChatGPT + DALL-E + WhatsApp = AI Assistant 🚀 🤖
A curated list of awesome ChatGPT software.
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
🚀 The fast, Pythonic way to build MCP servers and clients
find it hard to understand long github repos and pdfs? struggle no more, just enter your mindpalace. mindpalace helps you understand the repo/pdf visually by providing concise explanations along wi…
A collection of 500+ real-world ML & LLM system design case studies from 100+ companies. Learn how top tech firms implement GenAI in production.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Chat with any codebase in under two minutes | Fully local or via third-party APIs
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Pyano framework for making AI apps using composable AI agents.
⚙️🦀 Build modular and scalable LLM Applications in Rust
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
Production-ready platform for agentic workflow development.
Structured data extraction and instruction calling with ML, LLM and Vision LLM
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.