“Testing”

Code-first Java toolkit for building and testing AI agents, with multi-agent hierarchies, a dev UI and Maven packages.

Open-source agent harness from LangChain for building agents with code, with LangSmith for testing and monitoring.

Python library and CLI for building agents that run on IBM watsonx Orchestrate, with a local Developer Edition for testing.

Python library of 35 agentic AI architectures with one run() interface, built on LangGraph and multiple LLM providers.

TypeScript toolkit for agents with Zod-typed tools, graph and multi-agent workflows, and Node.js or browser runtimes.

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

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

Python framework for durable AI agents built as dataflows that resume after crashes, retry safely and record each step.

Python library for steering language models by constraining output with regex and grammars and mixing control flow with generation.

SDK for building agents in C#, JavaScript and Python that run on channels such as Microsoft Teams and Microsoft 365 Copilot.