AI Agent Framework

An AI Agent Framework is a software platform or toolkit designed to help developers create, train, deploy, and manage AI agents. AI agents are autonomous systems that can perform tasks or make decisions by perceiving their environment, reasoning about it, and acting to achieve specific goals.

The SentiOS framework streamlines the development process by providing tools, libraries, and structures for implementing intelligent behaviours in a wide range of projects.

Agent Design:

• Define the structure and behaviour of the AI agent.

• Support for different types of agents, such as reactive agents, goal-based agents, or learning agents.

Perception and Interaction:

• Tools for integrating sensory inputs (e.g., text, images, or environment data).

• Mechanisms for agents to interact with their environment or users.

Decision-Making:

• Support for reasoning engines or rule-based decision-making systems.

• Algorithms for planning and problem-solving.

Learning Capabilities:

• Integration with machine learning libraries for supervised, unsupervised, or reinforcement learning.

• Support for training agents in simulated or real-world environments.

Multi-Agent Systems:

• Tools for coordinating multiple agents working together.

• Communication protocols for inter-agent communication.

Integration with APIs and Services:

• Support for integrating external APIs, sensors, or platforms for real-world applications.

Scalability and Deployment:

• Enable deployment of agents to different platforms, such as cloud, edge devices, or on-premises systems.

• Scalability to manage large-scale environments with multiple agents.