Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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Updated
Feb 11, 2026 - Python
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
Scala client for OpenAI API and other major LLM providers
A multimodal chat interface with many tools.
Automatic AI-powered test suite generator
Discourse AI now lives in the discourse/discourse repo
Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.
Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
rizzler: stop crying over Git merge conflicts and let AI handle the drama
Go module for fetching embeddings from embeddings providers
A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.
AWS Certified AI Practitioner (AIF-C01) exam preparation
XAI
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
Winner of the international MongoDB AI Hackathon, Haven is an AI-powered solution empowering women in abusive situations with discreet help, mental health support, and legal guidance.
AI-powered code review tool that analyzes git branch differences and generates comprehensive review reports. Supports AWS Bedrock and Anthropic API. Features automated analysis of logic, security, performance, and code quality with smart token efficiency through prompt caching.
Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.
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