Semi Agent provides a modular architecture for building AI agents that can plan, execute actions, and remember context over time. It integrates with popular language models, supports tool definitions for custom functionality, and maintains conversational or task-oriented memory. Developers can define step-by-step plans, connect external APIs or scripts as tools, and leverage built-in logging to debug and optimize agent behavior. Its open-source design and Python basis allow easy customization, extensibility, and integration into existing pipelines.

Agents Factory provides a comprehensive environment to create autonomous agents powered by state-of-the-art language and domain-specific models. Through its intuitive drag-and-drop workflow builder, users can assemble agent behaviors by defining triggers, actions, and decision points. The platform includes a library of preconfigured agent templates, from customer service bots to data analysis assistants, which can be customized to specific business needs. Agents Factory also supports integration with third-party services via REST API and webhooks, enabling agents to fetch data from CRMs, databases, and SaaS tools. Real-time monitoring dashboards allow tracking agent activity, performance metrics, and logs for debugging. Built-in scheduling and event orchestration let agents run tasks on-demand or on a schedule, delivering reliable and scalable automation across organizations.

js-agent provides developers with a minimalistic yet powerful toolkit to create autonomous AI agents in JavaScript. It offers abstractions for conversation memory, function-calling tools, customizable planning strategies, and error handling. With js-agent, you can quickly wire up prompts, manage state, invoke external APIs, and orchestrate complex agent behaviors through a simple, modular API. It's designed to run in Node.js environments and integrates seamlessly with the OpenAI API to power intelligent, context-aware agents.