Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
The simplest, fastest repository for training/finetuning medium-sized GPTs.
all of the workflows of n8n i could find (also from the site itself)
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
💫 Industrial-strength Natural Language Processing (NLP) in Python
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monito…
Build Real-Time Knowledge Graphs for AI Agents
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
LLM agents built for control. Designed for real-world use. Deployed in minutes.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The absolute trainer to light up AI agents.
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
"RAG-Anything: All-in-One RAG Framework"
Memory for AI Agents in 6 lines of code
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
Simultaneous speech-to-text model
A research prototype of a human-centered web agent
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms