A no-code GUI and framework for fine-tuning large language models, enabling users to experiment with hyperparameters and advanced training techniques without coding.

A tool that converts trained scikit-learn and Keras models into portable C99 code for efficient inference on microcontrollers and embedded systems.

A native macOS app for Apple Silicon that provides a user-friendly interface to run LLMs, vision models, and image generation locally using the MLX framework.

A distributed deep learning framework that makes training and inference for large AI models faster and cheaper through advanced parallelism and memory management.

An end-to-end platform for building computer vision AI models, providing tools for annotation, training, and optimization for deployment on edge hardware.

A low-level computer vision library written in Rust that provides fast, zero-copy image processing on CPU and NVIDIA GPUs for real-time ML pipelines.

A high-performance data streaming library for PyTorch that enables fast, deterministic loading of massive datasets from cloud storage during distributed AI training.

A TensorFlow library for building and scaling Graph Neural Networks, featuring tools for heterogeneous graph representation and distributed graph sampling.

A comprehensive collection of pre-converted Core ML models and sample apps for implementing on-device AI on iOS and macOS.

A Python package for probabilistic time series modeling that uses deep learning and PyTorch to generate forecasts with uncertainty intervals.

A fast, flexible C++ machine learning library providing a core tensor interface and neural network tools for high-performance AI research across speech, vision, and text.

A PyTorch-based deep learning library that simplifies distributed training at scale, providing tools for memory optimization and algorithmic speedups to reduce training time and cost.

A library that automatically differentiates native Python and NumPy code to enable efficient gradient-based optimization.

A multi-agent collaboration system based on the OpenClaw framework that organizes AI agents into a hierarchical government or corporate structure for efficient task delegation and execution.

An AI-powered web crawler that uses natural language prompts to discover relevant pages and extract structured JSON or Markdown data from websites.

TuriX is an open-source computer-use agent that allows AI models to perform real actions on a desktop GUI across macOS, Windows, and Linux without needing app-specific APIs.

An MLOps/LLMOps scheduler and orchestration tool that automates the execution of ML experiments across local and cloud resources with zero configuration.

A multi-agent framework that stress-tests conversational AI agents by simulating thousands of realistic edge-case interactions to uncover failure points and optimize performance.

AGiXT is an AI automation platform that uses natural language to control digital and physical environments through a wide array of built-in extensions and multi-provider support.

An open-source skill memory layer for AI agents that automatically captures learnings from agent runs and stores them as human-readable Markdown files.

Cube Studio is an integrated development environment for data science and AI, focusing on providing consistent environments across the development lifecycle.

A chat and AI SDK platform that allows developers to add real-time messaging, LLM-powered bots, and backend services to apps across web and mobile platforms.

An agentic, local-first RAG system that provides citation-aware answers to questions about documents, featuring multimodal search and sandboxed Python analysis.

An open, cross-canon Buddhist knowledge infrastructure that uses RAG and LLM-verified alignments to provide cited, verifiable AI answers from over 600 sources.

A platform for building and deploying private agentic AI solutions featuring a distributed sandbox environment and multi-interface integration.

A native iOS and macOS workbench for testing and shipping with Apple's Foundation Models framework, featuring a prompt playground, tool integration, and adapter comparison.

Nudgebee is an open‑source, Kubernetes‑native SRE copilot that monitors K8s clusters and AWS/Azure/GCP, surfaces observability and FinOps signals, and uses LLMs to triage incidents. It offers ChatOps integration, runbook automation via Temporal, and ticketing sync, with a Next.js dashboard and a Helm chart for production deployment.

A resilient, HTTP-based data streaming protocol designed for AI agents and collaborative apps to ensure ordered, replayable, and resumable data delivery across devices.

MatrixOne is an AI-native HTAP database that combines transactional, analytical, and vector search capabilities with Git-style version control for data management.

An open-source long-term memory layer for AI agents that enables persistent storage and recall of user preferences and conversational context across sessions.

Polyaxon is a platform for building, training, and monitoring large-scale deep learning applications, solving problems related to reproducibility, automation, and scalability.

An open-source MLOps platform that orchestrates the full lifecycle of AI pipelines and agents, from development to production deployment.

A native-Rust AI agent workspace that provides a unified environment for coding and automation across desktop, terminal, and web interfaces.

A multi-tenant AI agent platform and gateway built in Go that orchestrates multiple agents across 20+ LLM providers and 7 messaging channels.

An open-source embodied intelligence assistant that manages the full robot arm workflow from setup and calibration to training and inference.

An AI-powered decentralized learning community that creates personalized knowledge bases and adaptive practice questions based on a user's learning trajectory.

AgML is a comprehensive library for agricultural machine learning that provides standardized access to a wealth of public agricultural datasets for common deep learning tasks.

A framework for high-quality, large-scale 3D scene reconstruction using Gaussian Splatting, featuring multi-GPU support and geometrically accurate rendering.

A collection of specifications and tools for 360-degree video and spatial audio to ensure immersive media is correctly recognized and played back.

A robust LiDAR-Inertial Odometry system that provides motion estimation without requiring sensor-specific modeling, making it compatible across various robotic platforms.

MCAP is a serialization-agnostic logging library and file format designed for efficient data recording and analysis in robotics applications.

A CLI tool that runs AI coding agents in a continuous loop to autonomously create, test, and merge pull requests for large-scale software projects.

A storage-tier-aware LLM inference scheduler for Apple Silicon that enables running models larger than physical memory by streaming tensors from NVMe storage.

A tool that exposes Supermemory containers as a local filesystem or virtual bash environment, enabling the use of standard Unix tools and semantic search for memory management.

AdaRubric is a framework that generates task-specific evaluation rubrics and dense reward signals to reliably evaluate and filter LLM agent trajectories for reward learning.

A local-first document management and semantic search server for AI agents that provides a private knowledge base with a built-in web UI and hybrid search.

A differentiable dynamical core for global atmospheric modeling written in JAX, designed to integrate physical equations with AI for weather and climate forecasting.

An open-source, self-hosted workspace for small merchants to automate the creation of product marketing assets using AI-powered visual workflows for copy and image generation.