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Comprehensive Agententests Tools for Every Need

Get access to Agententests solutions that address multiple requirements. One-stop resources for streamlined workflows.

Agententests

  • llm-lab

    An open-source Python framework to build, test and evolve modular LLM-based agents with integrated tool support.
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    What is llm-lab?
    llm-lab provides a flexible toolkit for creating intelligent agents using large language models. It includes an agent orchestration engine, support for custom prompt templates, memory and state tracking, and seamless integration with external APIs and plugins. Users can write scenarios, define toolchains, simulate interactions, and collect performance logs. The framework also offers a built-in testing suite to validate agent behavior against expected outcomes. Extensible by design, llm-lab enables developers to swap LLM providers, add new tools, and evolve agent logic through iterative experimentation.
    llm-lab Core Features
    • Agent orchestration engine
    • Prompt template management
    • Memory and state tracking
    • External API and plugin integrations
    • Performance monitoring and logging
    • Built-in testing and evaluation suite

  • AgenticAppBuilder

    A Python CLI framework to scaffold customizable AI agent applications with built-in memory, tools, and UI integration.
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    What is AgenticAppBuilder?
    AgenticAppBuilder accelerates AI agent development by providing a one-command CLI to scaffold production-ready applications. It sets up language model configurations, memory backends, tool integrations, and a user interface, enabling developers to focus on custom agent logic. The modular architecture supports extensible toolchains, seamless API key management, and deployment scripts for local or cloud environments, reducing boilerplate and speeding prototyping.
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