CamelAGI is an open-source framework designed to simplify the creation of autonomous AI agents. It features a plugin architecture for custom tools, long-term memory integration for context persistence, and support for multiple large language models such as GPT-4 and Llama 2. Through explicit planning and execution modules, agents can decompose tasks, call external APIs, and adapt over time. CamelAGI’s extensibility and community-driven approach make it suitable for research prototypes, production systems, and educational projects alike.

IntelliConnect is a versatile AI agent framework that enables developers to build intelligent agents by connecting LLMs (e.g., GPT-4) with various external APIs and services. It supports multi-step reasoning, context-aware tool selection, and error handling, making it ideal for automating complex workflows such as customer support, data extraction from web or documents, scheduling, and more. Its plugin-based design allows easy extension, while built-in logging and observability help monitor agent performance and refine capabilities over time.

Operit is a comprehensive open-source AI agent framework designed to streamline the creation of autonomous agents for various tasks. By integrating with LLMs like OpenAI’s GPT and local models, it enables dynamic reasoning across multi-step workflows. Users can define custom plugins to handle data fetching, web scraping, database queries, or code execution, while Operit manages session context, memory, and tool invocation. The framework offers a clear API for building, testing, and deploying agents with persistent state, configurable pipelines, and error-handling mechanisms. Whether you’re developing customer support bots, research assistants, or business automation agents, Operit’s extensible architecture and robust tooling ensure rapid prototyping and scalable deployments.