The AI-Native Application Stack
A unified platform that replaces fragmented AI tooling with a cohesive, production-ready infrastructure layer.
One Platform, Complete Control
STACKOXA consolidates agent lifecycle management, memory systems, model routing, and deployment into a single coherent platform. Full-stack engineers can move from concept to production without stitching together dozens of disparate services.
Layered for Scale & Observability
Control Plane
Centralized configuration, agent registry, policy enforcement, and real-time monitoring dashboards for your entire AI fleet.
Orchestration Layer
High-concurrency agent scheduling, DAG-based workflow execution, and intelligent load balancing across model endpoints.
Runtime Engine
Container-native execution environment with auto-scaling, health checks, and zero-downtime rolling deployments.
Memory Subsystem
Tiered memory architecture — ephemeral context buffers, persistent vector stores, and cross-session knowledge graphs.
Model Gateway
Unified interface to OpenAI, Anthropic, Google, Mistral, and open-source models with automatic failover and cost optimization.
Observability Suite
Distributed tracing, token usage analytics, latency heatmaps, and agent decision audit logs — built in from day one.
Designed for Full-Stack Engineers
TypeScript-first SDK, CLI tooling, and infrastructure-as-code templates. Local development mirrors production with hot-reload agent debugging.
Get Started with SDK →# Initialize a new STACKOXA project
$ stackoxa init my-ai-app
# Define agents locally
$ stackoxa agent create researcher
# Run with hot reload
$ stackoxa dev
# Deploy to production
$ stackoxa deploy --env productionExperience the Platform
Request early access and deploy your first multi-agent system today.
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