The core platform design enables you to create specialized AI agents with specific knowledge domains and tool access. These agents can be delegated tasks by other agents, forming a collaborative network of expertise.
Agents can be equipped with domain-specific knowledge, making them experts in particular fields such as finance, healthcare, or operations.
Assign specific tools and capabilities to agents, enabling them to perform specialized tasks from data analysis to customer interaction.
Agents can call on other agents' expertise, creating a network of specialized AI assistants that work together to solve complex problems.
Configurable AI assistants customized with specific instructions, knowledge bases, and tool access. Create a network of specialized AI experts.
Predefined interactions triggered manually, on schedule, or via webhooks, combining instructions with data to execute against assigned Agents.
Integrations with external APIs and services registered using OpenAPI specifications, with each operation becoming an AI-accessible Tool.
Structured data schemas with validation rules and UI configuration, providing a foundation for data management across the platform.
Capabilities for storing, organizing, and accessing documents and media with secure sharing and access controls.
Operations that enable AI models to perform specific tasks, from data management to UI interactions and external API requests.
The Message Context Protocol server enables seamless integration between different AI systems and applications. MCP standardizes how messages and function calls are handled between agents and external systems.
The Brightsy AI CLI provides powerful command-line tools for developers to interact with the platform, automate workflows, and integrate AI capabilities into existing systems and development pipelines.