Harnesses & SDKs

Sample projects for the Strands Agents SDK, showing how to build agents in Python and TypeScript; not intended for production use.

TypeScript SDK for persistent AI agents on Cloudflare Durable Objects, with state sync, scheduling and MCP support.

TypeScript and JavaScript framework for multi-agent workflows with tools, handoffs, guardrails, sandboxes and voice agents.

TypeScript framework and product stack for autonomous agents, with a plugin system, persistent memory, a CLI, an app and cloud services.

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

TypeScript agent framework on a Rust runtime, where runs are checkpointed, replayed with zero LLM calls and resumed after a crash.

Policy enforcement, identity, sandboxing and reliability tooling for autonomous AI agents, installable with one pip command.

TypeScript SDK with reference implementations of Hashgraph Consensus Standards and a Registry Broker client.

Python and TypeScript SDK that gives an AI agent a phone number, with pluggable LLM, speech and telephony providers.

Visualization language and MCP server that lets AI agents create charts from editable chart specs.

Python and TypeScript toolkit for calling any frontier LLM through one interface, with tools, structured output and tracing.

TypeScript agent framework with persistent cognitive memory, multi-agent orchestration and one dispatch interface across 13 LLM providers.

Python and TypeScript SDK and REST Agent Server for building agents that work with code in local or containerized workspaces.

Self-hosted TypeScript runtime for coordinating agents with human approval gates and inspectable runs, with no telemetry.

The batteries included agent harness.

Python and TypeScript SDK that lets an agent message people on email, Slack, Discord, Telegram and other channels through one handler.

SDK for building Microsoft Teams apps and AI agents in TypeScript, C# and Python, with a CLI that scaffolds new agents.

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

XState library where agent logic is a state machine, so a model can only pick events the machine allows.

Open agent harness for AI applications, with a YAML-configured coding agent, sessions, tools, MCP support and a CLI.

Python platform that gives agents a cryptographic identity, A2A communication and x402 payment requirements behind one bindufy() call.

Framework for AI agents and multi-agent networks where a router picks which agent runs, with tools and MCP support.

Workflow SDK: Build durable, reliable, and observable apps and AI Agents in TypeScript