awslabs

awslabs

mcp

★ 9,696

Open source MCP Servers for AWS

awslabs

gluonts

★ 5,235

Probabilistic time series modeling in Python

awslabs

agentcore-samples

★ 3,369

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

awslabs

dgl-ke

★ 1,333

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

awslabs

cli-agent-orchestrator

★ 1,293

Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions

awslabs

agent-plugins

★ 893

Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.

awslabs

amazon-bedrock-agent-samples

★ 809

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

awslabs

fullstack-solution-template-for-agentcore

★ 590

Flexible Fullstack solution template for production-ready deployments of any use case on Amazon Bedrock AgentCore.

awslabs

generative-ai-cdk-constructs

★ 541

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

awslabs

awsome-distributed-ai

★ 475

Best practices, reference architectures, and examples for distributed AI training and inference on AWS.

awslabs

iam-policy-autopilot

★ 454

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

awslabs

graphstorm

★ 452

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

awslabs

graphrag-toolkit

★ 442

Python toolkit for building graph-enhanced GenAI applications