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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Magnificent app which corrects your previous console command.
Python tool for converting files and office documents to Markdown.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
AI agents running research on single-GPU nanochat training automatically
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of…
No fortress, purely open ground. OpenManus is Coming.
LlamaIndex is the leading document agent and OCR platform
Streamlit — A faster way to build and share data apps.
Developer-first error tracking and performance monitoring
Build, run, manage agentic software at scale.
"🐈 nanobot: The Ultra-Lightweight Personal AI Assistant"
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Python packaging and dependency management made easy
The fundamental package for scientific computing with Python.
Installable GitHub library of 1,340+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill c…
The official Python library for the OpenAI API
Code and documentation to train Stanford's Alpaca models, and generate the data.
Build resilient language agents as graphs.