Core Components
Our agentic AI framework comprises of several core components:
| Component | Description |
|---|---|
| Orchestrator | Central hub for task assignment, execution, and monitoring. Manages agent interactions and refines workflows dynamically. |
| Agent | An autonomous unit programmed to perform tasks, make decisions, and communicate with other agents. |
| Task | A specific assignment completed by an agent, providing all necessary details like description, tools, and responsibilities. |
| Crew | A collaborative group of agents working together to achieve a set of tasks. Crews define strategies for task execution and agent collaboration. |
| Process Implementations | Frameworks for agent collaboration. This includes sequential tasks that are executed in an orderly progression, or hierarchical tasks are managed via a structured chain of command |
| Large Language Models (LLMs) | Backbone of intelligent agents, enabling capabilities like natural language understanding and reasoning. Includes models like GPT, Claude, Mistral, Gemini, and Llama that are Optimized for complex workflows. |
| Tool | A skill or function agents use to perform actions, that includes capabilities like search, computer use, data extraction, file uploading and advanced interactions. |
| Agent Registry | A structured catalog organizing agents by domain, task type, and functionality, allowing users to deploy agents seamlessly. |
| Frontend Interface | Drag-and-drop visual workflow builder and real-time dashboards for monitoring, debugging, and optimizing agent performance. |