aws-bedrock

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

route Claude Code requests through multiple upstream providers (OpenCode Go, OpenCode Zen, and AWS Bedrock) with automatic model selection and format transformation.

Free, open-source AWS emulator. LocalStack alternative: 105 services, 7,396 operations, true 100% Smithy conformance (248,319/248,319 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.

A high-performance AI Gateway written in Rust — call 100+ LLM APIs using OpenAI format

Discourse AI now lives in the discourse/discourse repo

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

A tiny, vendor-neutral LLM client library — one interface (LLMClient) with pluggable adapters for OpenAI, AWS Bedrock and Google Gemini, or bring your own backend.

AWS Certified AI Practitioner (AIF-C01) exam preparation

rizzler: stop crying over Git merge conflicts and let AI handle the drama

🤖 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.

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

Explain Jenkins job failures with AI

A self-evolving Agent OS — every interaction sharpens how it judges, not just what it knows. Four ideas: self-evolution (mistakes become code gates, not logged lessons), brain-first domain brains that grow and decay, cognition that persists between sessions, and proprioception — it senses and drives its own body. Human directs. AI delivers.