“AWS”

Python SDK for deploying agents to Amazon Bedrock AgentCore, a managed runtime with memory, gateway, tools and observability.

Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.

TypeScript toolkit for AI apps and agents with a unified provider API, streaming, UI hooks and a wrapper for running established agent harnesses.

Java application framework from the Spring project with portable chat and embedding APIs, tool calling and vector stores.

Kotlin and Java framework for AI agents with tools, graph workflows, MCP, streaming and multiplatform targets.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.

Python framework and runtime for building agents, serving them over a REST API and MCP server, and managing them from a web control plane.

Python framework for agents that discover MCP tools by themselves, with optional memory, guardrails, cache and tracing.

Typed Python toolkit for composing classic and agentic retrieval-augmented generation pipelines with pluggable LLMs and stores.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.