X AI Agent provides a modular architecture for building intelligent agents. It supports seamless integration with external tools and APIs, configurable memory modules, and multi-LLM orchestration. Developers can define custom skills, tool connectors, and workflows in code, then deploy agents that fetch data, generate content, automate processes, and handle complex dialogues autonomously.

AgentIn is a Python-based AI agent framework designed to accelerate the development of conversational and task-driven agents. It offers built-in memory modules to persist context, dynamic tool integration to call external APIs or local functions, and a flexible prompt templating system for customized interactions. Multi-agent orchestration enables parallel workflows, while logging and caching improve reliability and auditability. Easily configurable via YAML or Python code, AgentIn supports major LLM providers and can be extended with custom plugins for domain-specific capabilities.