OperAgents is a developer-oriented toolkit for building and orchestrating autonomous agents using large language models like GPT. It supports defining custom agent classes, integrating external tools (APIs, databases, code execution), and managing agent memory for context retention. Through configurable pipelines, agents can perform multi-step tasks—such as research, summarization, and decision support—while dynamically invoking tools and maintaining state. The framework includes modules for monitoring agent performance, handling errors automatically, and scaling agent executions. By abstracting LLM interactions and tool management, OperAgents accelerates the development of AI-driven workflows in domains like automated customer support, data analysis, and content generation.

AIKitchen provides a developer-friendly Python toolkit enabling you to compose AI agents as modular building blocks. At its core, it offers pipeline definitions with stages for input preprocessing, LLM invocation, tool execution, and memory retrieval. Integrations with popular LLM providers allow flexibility, while built-in memory stores track conversational context. Developers can embed custom tasks, leverage retrieval-augmented generation for knowledge access, and gather standardized metrics to monitor performance. The framework also includes workflow orchestration capabilities, supporting sequential and conditional flows across multiple agents. With its plugin architecture, AIKitchen streamlines end-to-end agent development—from prototyping research ideas to deploying scalable digital workers in production environments.

GPTsuite provides a comprehensive AI toolkit designed to simplify the use of generative AI across various applications. By leveraging tools like chat with documents, grammar analysis, and image generation, GPTsuite enhances user productivity and creativity. Its unique model allows users to use their own API keys, ensuring privacy and flexibility without the burden of monthly subscription fees.