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A collection of example Jupyter notebooks demonstrating how to build, train and deploy machine learning models on Amazon SageMaker, maintained alongside the newer SageMaker-Core Python SDK.

• Tutorials

A Python framework for production-ready data engineering and data science pipelines, applying software engineering practices to make them reproducible, maintainable and modular.

• Data engineering

An open-source inference-serving system that deploys models from multiple deep-learning and machine-learning frameworks across cloud, data center, edge and embedded devices.

• Inference

A zero-setup, model-agnostic runtime for multi-agent 'colonies' that coordinate through a shared ledger and a persistent plan, aimed at running production business processes reliably.

• Agent frameworks

The community-maintained manifest repository behind Windows Package Manager (winget), where developers submit installer manifests for applications and fonts.

• CLI tools

A fast tokenization library implemented in Rust, with Python and Node.js bindings, aimed at becoming a standard tokenization engine across languages, models and hardware.

• Libraries

A generator of fresh ARC-AGI-1-style reasoning tasks, matched to the public evaluation set's distribution, for testing frontier models on problems they have not seen before.

• AI evals

An open-source framework for building real-time, multimodal conversational voice AI agents, with example agents, voice activity detection, turn detection and deployment tooling.

• Agent frameworks
• Speech

A content management system and web platform built on the Laravel PHP framework, aimed at keeping site-building workflows simple for developers.

• Backend

An open-source React toolkit for building agents that render generative UI: components are registered with schemas, and an agent chooses and streams the right one as it responds to a request.

• Agent frameworks

A minimalist LLM framework implemented in about 100 lines of Python, providing a single graph abstraction that agents, workflows and RAG pipelines can be built from without vendor-specific wrappers.

• Agent frameworks

A command-line interface that brings GitHub Copilot's coding agent into the terminal, using natural-language conversations to build, debug and understand code while staying connected to a GitHub account.

• Coding agents

A local-first AI workspace that runs several agent runtimes side by side for chat, coding and visual workflows, packaged as a desktop app and a self-hosted web console.

• Coding agents

An anti-detection headless browser server for AI agents, built on the Camoufox Firefox fork, exposed as a REST API that returns accessibility snapshots and stable element references instead of raw HTML.

• Browser automation

A suite of tools for building LLM applications: create flows that link prompts, LLMs and Python code, then test, evaluate and deploy them to production.

• Agent frameworks
• AI evals

A local tool that reads the session files AI coding tools already write and turns them into a cost breakdown by tool, model, project and task, available as a CLI, web view, desktop app and macOS menu bar app.

• Coding agents
• Desktop utilities

A family of small, on-device large language models for edge and resource-constrained deployment, with the newest 2-billion-parameter release reporting state-of-the-art results for its size class.

• Models

A pattern library and CLI for operating AI coding agents around a codebase on a recurring basis, scaffolding patterns such as daily triage or a PR babysitter with a graded, report-first rollout.

• Coding agents

A hands-on tutorial and codebase that implements a transformer language model from scratch in plain PyTorch, walking from raw text through pretraining to a fine-tuned, reasoning-style chat model.

• Models
• Tutorials

An open-source, local-first agentic workspace that enterprises can shape to their own tools, connecting existing chat apps and 100-plus integrations to any coding agent or model, with shared memory.

• Agent frameworks
• Agent memory

An editing skill for Claude Code, Codex and other AI tools that removes more than 20 common AI-writing patterns from a piece of text, such as fake-profound endings and weasel attribution, while keeping the writer's own voice.

• Agent skills

A full-stack, hands-on tutorial on retrieval-augmented generation for large-model application developers, covering data preparation, index construction, advanced retrieval, generation and evaluation.

• RAG
• Tutorials

A data layer for physical AI that logs, queries and visualizes multimodal robotics data, such as images, point clouds and joint states, in a real-time viewer while streaming the same data into training.

• Databases

An embedded retrieval library for multimodal AI data that stores and indexes vectors, text, images, and other data for vector, full-text, and SQL search at scale.

• Databases