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Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
Making large AI models cheaper, faster and more accessible
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
all of the workflows of n8n i could find (also from the site itself)
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A community-maintained Python framework for creating mathematical animations.
OpenMMLab Detection Toolbox and Benchmark
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Fully open reproduction of DeepSeek-R1
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
🤗 smolagents: a barebones library for agents that think in code.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🚀 The fast, Pythonic way to build MCP servers and clients
Intelligent automation and multi-agent orchestration for Claude Code
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A lightweight, powerful framework for multi-agent workflows
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.