Starred repositories
Build production-ready AI agents in both Python and Typescript.
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you alre…
An advanced LangGraph series exploring real-world agent workflows, dynamic tools, parallel execution, long-term memory, and human-in-the-loop designs. Includes hands-on Python notebooks for buildin…
Codes related to my LangGraph playlist
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Visual testing tool for MCP servers
A high-throughput and memory-efficient inference and serving engine for LLMs
Model Context Protocol Servers
all of the workflows of n8n i could find (also from the site itself)
Awesome curated collection of images and prompts generated by gemini-2.5-flash-image (aka Nano Banana) state-of-the-art image generation and editing model. Explore AI generated visuals created with…
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Learn Pydantic AI agents, step by step, using local models and ollama
[NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation".
🔥 Clone and recreate any website as a modern React app in seconds
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Connect any AI model to 600+ integrations; powered by MCP 📡 🚀
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Port of OpenAI's Whisper model in C/C++
Collection of notebooks showing how to use Gemini, Imagen, Gemma, and more.
Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating…
📝 An awesome Data Science repository to learn and apply for real world problems.