Embabel Agent provides a structured approach for building AI agents in Node.js and browser environments. Developers define tools—such as HTTP fetchers, database connectors, or custom functions—and configure agent behaviors through simple JSON or JavaScript classes. The framework maintains conversation history, routes queries to the appropriate tool, and supports plugin extensions. Embabel Agent is ideal for creating chatbots with dynamic capabilities, automated assistants that interact with multiple APIs, and research prototypes that require on-the-fly orchestration of AI calls.

MiniAgent is a minimalistic open-source framework built in Python for constructing autonomous AI agents capable of planning and executing complex workflows. At its core, MiniAgent includes a task planning module that decomposes high-level goals into ordered steps, an execution controller that runs each step sequentially, and built-in adapters for integrating external tools and APIs, including web services, databases, and custom scripts. It also features a lightweight memory management system to persist conversational or task context. Developers can easily register custom action plugins, define policy rules for decision-making, and extend tool functionality. With support for OpenAI models and local LLMs, MiniAgent enables rapid prototyping of chatbots, digital workers, and automated pipelines, all under an MIT license.

Agentless is a lightweight, agent-free framework designed to streamline AI-driven code automation workflows. By integrating directly with large language models via API calls, it generates, executes, and validates code in real time across diverse environments. Developers define tasks in YAML or JSON workflows and extend functionality through a plugin architecture supporting multiple programming languages. Agentless eliminates the overhead of dedicated agent processes, simplifying deployment and monitoring. It offers built-in connectors for GitHub Actions, Jenkins, and other CI/CD systems, plus automated testing modules for code review, unit test generation, and static analysis to ensure high-quality output.