Aeiva is a developer-first platform that enables you to create, deploy, and evaluate autonomous AI agents within flexible simulation environments. It features a plugin-based engine for environment definition, intuitive APIs to customize agent decision loops, and built-in metrics collection for performance analysis. The framework supports integration with OpenAI Gym, PyTorch, and TensorFlow, plus real-time web UI for monitoring live simulations. Aeiva’s benchmarking tools let you organize agent tournaments, record results, and visualize agent behaviors to fine-tune strategies and accelerate multi-agent AI research.
Aeiva Core Features
Modular environment and agent API
Integration with OpenAI Gym, PyTorch, TensorFlow
Real-time web dashboard for visualization
Built-in tournament benchmarking tools
Extensible plugin architecture
Automated metrics collection and logging
Aeiva Pro & Cons
The Cons
Some features and capabilities are still marked as 'to be updated', indicating under development
No direct pricing or commercial offering details available
