Starred repositories
A model-driven approach to building AI agents in just a few lines of code.
Continuous Thought Machines, because thought takes time and reasoning is a process.
CDK template that deploys real-time voice interaction app using Amazon Nova Sonic with tool use
Discover how to build agents that can perform actions on websites by combining Amazon Nova Act with Model Context Protocol (MCP).
A sample authentication service implemented with a server-less architecture, using AWS Lambda to host and execute the code and Amazon DynamoDB as persistent storage. This provides a cost-efficient …
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
Train your AI self, amplify you, bridge the world
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
Awesome Reasoning LLM Tutorial/Survey/Guide
Demo – Using Amazon Bedrock Data Automation for processing documents and videos
Glamorous Toolkit is the Moldable Development Environment. It empowers you to make systems explainable through contextual micro tools.
This SDK provides a simple yet powerful way to create and interact with Amazon Bedrock Agents using the Return Control pattern. It allows you to easily define function tools, organize them into act…
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).
High Dimensional Orthogonal Vectors Analysis
MLX Model Manager unifies loading and inferencing with LLMs and VLMs.
Infinite Photorealistic Worlds using Procedural Generation
Python toolkit for building graph-enhanced GenAI applications
Demo of Anthropic's open source MCP used with Amazon Bedrock Converse API
SummarizeMe is an AI-powered app for transcribing meeting recordings, generating summarized meeting notes, extracting key points and action items, and creating video summaries.
A simple testing framework to evaluate and validate LLM-generated content using string similarity, semantic similarity, and model-based evaluation.
Elevate your Git workflow with intelligent, context-aware commit messages generated by an AI language model.
How to test non-deterministic software, including applications using generative AI and Large Language Models (LLMs).
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Open Source Frameworks for Building Generative AI Applications
Free, open source, HTML email template editor and no code designer.