Melissa provides a lightweight, extensible architecture for building AI-driven agents without requiring extensive boilerplate code. At its core, the framework leverages a plugin-based system where developers can register custom actions, data connectors, and memory modules. The memory subsystem enables context preservation across interactions, enhancing conversational continuity. Integration adapters allow agents to fetch and process information from APIs, databases, or local files. By combining a straightforward API, CLI tools, and standardized interfaces, Melissa streamlines tasks such as automating customer inquiries, generating dynamic reports, or orchestrating multi-step workflows. The framework is language-agnostic for integration, making it suitable for Python-centric projects and can be deployed on Linux, macOS, or Docker environments.

GhostOS simulates a traditional operating system within your browser, enabling you to open multiple AI agent windows simultaneously. Each window functions like an independent workspace attached to ChatGPT or custom plugins, supporting virtual desktops and drag-and-drop file management. Users can customize their environment with themes, extensions, and quick-access toolbars. GhostOS streamlines switching between various AI-driven tasks, offers session persistence, and provides a centralized platform for research, coding, writing, and productivity enhancement. It also features integrated memory modules for context-aware interactions, a plugin marketplace, keyboard shortcuts, and a command palette for rapid execution, allowing session exports and third-party API integrations for tailored workflows.