Swifto is a no-code website personalization and A/B testing platform that leverages AI to optimize user experiences. By automating content generation, personalizing visitor interactions, and managing smart traffic allocation, Swifto helps businesses of all sizes enhance engagement and conversion rates.

WanderMind provides a modular architecture for building self-guided AI agents. It manages a persistent memory store to retain context across sessions, integrates with external tools and APIs for extended functionality, and orchestrates multi-step reasoning through customizable planners. Developers can plug in different LLM providers, define asynchronous tasks, and extend the system with new tool adapters. This framework accelerates experimentation with autonomous workflows, enabling applications from idea exploration to automated research assistants without heavy engineering overhead.

EthicalEvalMAS provides a modular environment to assess multi-agent systems across key ethical dimensions such as justice, autonomy, privacy, transparency, and beneficence. Users can generate custom scenarios or use built-in templates, define bespoke metrics, execute automated evaluation scripts, and visualize outcomes through built-in reporting tools. Its extensible architecture supports integration with existing MAS platforms and facilitates reproducible ethical benchmarking across different agent behaviors.

AI Voice Agent is a simple yet powerful open-source project that transforms spoken input into natural language responses using state-of-the-art AI models. It captures user speech through a microphone, applies OpenAI Whisper to transcribe audio into text, sends the text to the ChatGPT API for intelligent dialogue generation, and then uses a text-to-speech engine such as Coqui TTS to convert the AI response back into spoken audio. This continuous loop delivers seamless, real-time voice interaction and can be adapted for virtual assistants, accessibility tools, or IoT device control.

Flock provides a developer-friendly, modular framework for chaining multiple LLM calls, managing conversational memory, and integrating external tools into autonomous agents. With support for asynchronous execution and plugin extensions, Flock enables fine-grained control over agent behaviors, triggers, and context handling. It works seamlessly in Node.js and browser environments, letting teams rapidly prototype chatbots, data-processing workflows, virtual assistants, and other AI-driven automation solutions.