Deploy AI Agents
at Scale
The complete infrastructure platform for building, deploying, and managing AI agents. MCP tool registry. LangGraph workflows. Real-time monitoring.
Platform Capabilities
Everything you need to build and operate AI agent systems at enterprise scale.
Agent Lifecycle Management
Deploy, monitor, and scale AI agents across any framework - LangGraph, AutoGen, CrewAI, or custom.
MCP Tool Registry
Register, discover, and federate MCP tools across organizations with built-in health checking and rate limiting.
LangGraph Workflows
Visual workflow builder with state machine execution, agent coordination, and real-time progress tracking.
Real-Time Analytics
Token budget visualization, prompt performance scoring, cost optimization, and context window utilization.
Enterprise Security
JWT auth with RBAC, API key management, OAuth2 integration, and SOC2 compliance preparation.
Multi-Cloud Deploy
Kubernetes-native architecture with Terraform IaC for AWS, GCP, and Azure deployment.
Build Streams
Six parallel workstreams driving the platform from scaffold to production.
Rust Core Backend
In DevelopmentHigh-performance API server built in Rust with Axum. Handles authentication, agent lifecycle, MCP registry, and workflow orchestration.
Frontend Dashboard
LiveNext.js 14 dashboard with real-time agent monitoring, workflow visualization, and analytics. Built with the GrepLabs design system.
Infrastructure
In DevelopmentKubernetes-native deployment with Helm charts, Terraform IaC, and comprehensive monitoring via Prometheus + Grafana.
Python ML Services
PlannedAgent runtime environment with LangGraph integration, MCP client SDK, and vector store for RAG-based retrieval.
Ready to build with GrepLabs?
Explore the live dashboards, review the build plan, or sign up for early access.