Infrastructure for autonomous agents.
MEHSS Labs provides the orchestration layer and execution environment to build, deploy, and monitor AI agents. Built for engineering teams who need reliable agentic workflows without the infrastructure overhead.
Monitor agent execution in real-time
View trace logs, inspect memory states, and debug agent decisions exactly as they happen.
How it works
A standard workflow for deploying an agent to production.
1. Define the Agent
Provide a system prompt and specify which tools (APIs, databases) the agent is allowed to access.
2. Deploy the Worker
Deploy the agent to our managed edge infrastructure via the CLI or GitHub integration.
3. Monitor Execution
Watch the agent execute tasks autonomously while maintaining full audit logs of every decision.
Engineered for scale
Our distributed architecture manages the underlying state, memory vectors, and routing orchestration so you can focus entirely on building your application's logic.
- ✓ Edge-deployed State Machine Workers
- ✓ Integrated Vector DB for semantic memory
- ✓ Distributed Routing Layer
Powered by NVIDIA Enterprise
GPU Infrastructure
We partner directly with NVIDIA to deliver bare-metal performance for autonomous agent inference. Our clusters are optimized for low-latency token generation, massive vector parallelization, and continuous state processing.
The MEHSS Advantage
Comprehensive Observability
Gain deep insights into agent latency, success rates, and real-time execution logs.
Secure by default
Granular control over API keys, permissions, and service integrations. Keep your agent infrastructure completely isolated and secure.
- ✓ Fine-grained IAM policies
- ✓ Secure Secret Vaults
- ✓ Key rotation and revoking
Simple, predictable pricing
Start for free, upgrade when you need higher limits. View full pricing →
Growth
- ✓ 1,000,000 Edge Requests
- ✓ Dedicated GPU Clusters
- ✓ Execution Lens (Advanced)







