AgentChat is a web-based AI agent platform that provides a no-code interface to create, train and deploy chatbots. Users can select from OpenAI models or custom LLMs, configure dynamic memory for context retention, integrate external APIs as plugins, and manage multiple agents in one workspace. Built-in collaboration tools enable teams to co-develop and share agents securely. Deploy agents via shareable links or embed them in applications.

Azeerc-AI is a developer-focused framework that enables rapid construction of intelligent agents by orchestrating large language model (LLM) calls, tool integrations, and memory management. It provides a plugin architecture where you can register custom tools—such as web search, data fetchers, or internal APIs—then script complex, multi-step workflows. Built-in dynamic memory lets agents remember and retrieve past interactions. With minimal boilerplate, you can spin up conversational bots or task-specific agents, customize their behavior, and deploy them in any Python environment. Its extensible design fits use cases from customer support chatbots to automated research assistants.