Cogment

Cogment is an open-source platform that enables the building, training, and operation of AI agents in simulated or real environments alongside humans. It focuses on addressing the challenges of continuously training humans and AI together.

Key Features:

Continuous training of humans and AI agents together

Real-time adaptation and faster training

Orchestration of intelligence ecosystems

Hybrid AI capabilities for compliance and high performance

Modular approach to reduce compute usage and facilitate validation

Progressive deployment from simulation to real environment

Compatibility with existing tools

Support for multi-agent and human-in-the-loop learning

Tech stack agnostic for seamless integration

Multi-experience learning for training specialized agents

Implementation swapping for flexible agent configurations

Multi-source and retroactive rewards for reinforcement learning

Optimized for smooth transition between development and deployment

Cogment is an open-source platform designed to address the challenges of continuously training humans and AI agents together. It offers real-time adaptation, faster training, and fosters trust between humans and AI. With a modular approach, it reduces compute usage and facilitates validation. Cogment supports multi-agent and human-in-the-loop learning, allowing multiple agents and human users to interact in collaborative or competitive setups. It is compatible with various tech stacks and offers seamless integration with existing tools. Cogment optimizes the development and deployment process, ensuring minimal discontinuity and enabling smooth iteration between simulated and real environments.