CivAI offers a user-friendly interface for building AI-driven chat agents. With step-by-step wizards, you define each character's system prompts, memory triggers, and personality traits—like tone, interests, and expertise. The platform supports uploading custom instructions and connecting your own OpenAI API key for advanced control over model behavior. Once created, characters can be tested in real-time chat windows, saved to personal libraries, and published to an online gallery where other users can chat, rate, and fork them. CivAI also provides analytics on conversation patterns, enabling iterative refinement and optimization of agent interactions.

AI-Agents provides a modular architecture for defining and running Python-based AI agents. Developers can configure agent behaviors, integrate external APIs or tools, and manage agent memory across sessions. It leverages popular LLMs, supports multi-agent collaboration, and enables plugin-based extensions for complex workflows like data analysis, automated support, and personalized assistants.

AIFoundry-AgentService-Streamlit is an open-source demo application built with Streamlit that lets users quickly spin up AI agents via AIFoundry’s AgentService API. The interface includes options to select agent profiles, adjust conversational parameters like temperature and max tokens, and display conversation history. It supports streaming responses, multiple agent environments, and logs requests and responses for debugging. Written in Python, it simplifies testing and validating different agent configurations, accelerating the prototyping cycle and reducing integration overhead before production deployment.