Agentic-AI is an open-source Python framework that streamlines building autonomous agents leveraging large language models such as OpenAI GPT. It provides core modules for task planning, memory persistence, and tool integration, allowing agents to decompose high-level goals into executable steps. The framework supports plugin-based custom tools—APIs, web scraping, database queries—enabling agents to interact with external systems. It features a chain-of-thought reasoning engine coordinating planning and execution loops, context-aware memory recalls, and dynamic decision-making. Developers can easily configure agent behaviors, monitor action logs, and extend functionality, achieving scalable, adaptable AI-driven automation for diverse applications.

Autonomous Agents is an open-source Python library designed to simplify the creation of autonomous AI agents powered by large language models. By abstracting core components such as perception, reasoning, and action, it allows developers to define custom tools, memories, and strategies. Agents can autonomously plan multi-step tasks, query external APIs, process results through custom parsers, and maintain conversational context. The framework supports dynamic tool selection, sequential and parallel task execution, and memory persistence, enabling robust automation for tasks ranging from data analysis and research to email summarization and web scraping. Its extensible design facilitates easy integration with different LLM providers and custom modules.