Stars
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Give your coding agent the power to write and run agent evals.
A simple tool for coordinating several AI agents.
Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV — clean API, well-typed, MIT-licensed.
The agent that grows with you
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
An agentic skills framework & software development methodology that works.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Siamese and triplet networks with online pair/triplet mining in PyTorch
OpenMMLab Pose Estimation Toolbox and Benchmark.
[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"
👨🎨 The ergonomic way to storyboard. Turns sketches and annotations into videos by drawing on a canvas.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A headless, agentic debugger over MCP — let your AI agents debug running programs in six languages.
🚀 The easiest way to automate building and releasing your iOS and Android apps
A lightweight, powerful framework for multi-agent workflows
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
An open-source AI agent that brings the power of Gemini directly into your terminal.
In App Purchase module for React Native that confirms OpenIAP
A high-throughput and memory-efficient inference and serving engine for LLMs
General-purpose web UI for Kubernetes clusters
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents
A performant interactive bottom sheet with fully configurable options 🚀
Efficiently read embedding in streaming from any filesystem
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A MNIST-like fashion product database. Benchmark 👇