Saad Ullah
⬤ Nanobot has launched as an open-source tool for building AI agents using MCP and MCP-UI frameworks. The project works as a standalone MCP host that developers can deploy independently or integrate into their existing products. The system functions as a centralized service connecting users, interfaces, MCP clients, and servers in one unified architecture.
⬤ The platform bundles essential components for agent-based systems into a single service. These include MCP servers, LLM integration, user context management, and resource storage for media like images, audio, and video. An orchestrator sits at the system's core, managing how the user interface, MCP client, and MCP servers interact with each other. The host handles session management and contextual data internally while linking to external resources and databases as needed.
⬤ What makes Nanobot stand out is its multi-channel flexibility. Agents built with the platform can run across chatbots, voice interfaces, SMS, email, AR/VR environments, Slack, and custom MCP-based interfaces. This centralized approach means developers can reuse the same agent logic across different interaction channels without building separate implementations for each one.
⬤ The release fits into a growing movement toward modular, reusable infrastructure in AI development. As an open-source MCP host that works standalone or embedded, Nanobot gives developers more options for structuring agent systems when they need deployment flexibility and consistent performance across multiple interfaces.
Saad Ullah
