Flexible and powerful framework for managing multiple AI agents and handling complex conversations
-
Updated
May 21, 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
Free, open-source AWS emulator. LocalStack alternative: 39 services, 2,591 operations, true 100% Smithy conformance (86,327/86,327 variants pass). No account, no auth token, no paid tier.
Scala client for OpenAI API and other major LLM providers
A multimodal chat interface with many tools.
Automatic AI-powered test suite generator
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.
Discourse AI now lives in the discourse/discourse repo
Human directs. AI delivers.
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
AWS Certified AI Practitioner (AIF-C01) exam preparation
A high-performance AI Gateway written in Rust — call 100+ LLM APIs using OpenAI format
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.
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.
Explain Jenkins job failures with AI
Add a description, image, and links to the aws-bedrock topic page so that developers can more easily learn about it.
To associate your repository with the aws-bedrock topic, visit your repo's landing page and select "manage topics."