Open source platform that transforms chaotic multi-cloud environments into self-regulating, transparent, and cost-optimized ecosystems using AI and machine learning.
Cloud spending grows exponentially while visibility and control diminish. Companies waste 20-30% on idle or oversized resources.
Mixing AWS, Azure, GCP, on-prem, Kubernetes, serverless creates complexity that no human team can manage manually.
Traditional tools react to problems. We need proactive AI that predicts, optimizes, and acts autonomously.
Unified management across AWS, Azure, Google Cloud, and on-premises infrastructure.
LLM-driven analysis with explainable recommendations and confidence scoring.
Comprehensive metrics collection, alerting, and historical tracking.
Safe, policy-driven automation with simulation and rollback capabilities.
Plugin-based design for custom providers, optimizers, and integrations.
Security, observability, and production deployment built-in.
Modular, testable, and built for scale β from single teams to enterprise deployments.
Our 12-18 month journey to becoming the de-facto open standard for intelligent multi-cloud management.
Help us build the intelligent nervous system for cloud infrastructure. From bug fixes to ML agents β every contribution counts.
6 curated "Good First Issues" to get started
RFCs, plugin guides, and architecture docs
Open discussions and collaborative design