Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
A set of tools that gives agents powerful capabilities.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
Agent samples built using the Strands Agents SDK.
Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood policies and credential injection that keeps secrets outside the agent. Written in Rust. Supports macOS on Apple silicon, with Linux support planned.
AWSでAIエージェントのWebアプリを作るためのスキル集
终端优先的 Linux AI 运维工作台:SSH/SFTP、真实命令回显、分级审批与一步一卡教学。Windows 桌面预稳定版。A terminal-first AI workbench for Linux operations.