Where agents are born,
governed, and kept in check.

AgentOS is the operational spine of Covasant Agent Management Suite (CAMS). Every AI agent that your enterprise runs, whether built by your team or deployed from our product library, is governed by CAMS. From first design to real-time kill switch.

Built for CTOs · AI Engineers · Platform Architects

AgentOS serves as the Operating Environment for AI agents

Every AI agent needs a place to live, a structured environment where it is designed, tested before it touches real data, registered against governance rules, published for consumption, woven into multi-agent workflows, and watched in production with a live kill switch on standby.

AgentOS provides all seven of those capabilities as a unified, integrated layer. Your engineering teams stop building lifecycle scaffolding from scratch and start building the actual agent logic that creates business value.

 
Receives from AgentMind
Intelligence capabilities (HybridRAG, ContextCore, ModelHub) power the agents that AgentOS manages and deploys.
 
Receives from InsightEngine
Anomaly, forecast, and classification outputs from InsightEngine trigger agent actions within AgentOS workflows.
 
Receives from DataFoundation
Clean, governed data from DataFoundation is what every agent registered in AgentOS runs on.
 
Receives from ConnectCore
Enterprise system events from ConnectCore trigger agent workflows and allow agent outputs to write back to source systems.

The AI Agent Lifecycle

Governance is not a step you add at the end. In AgentOS, it is built into the sequence every agent must follow from conception to production.

1
StrategyCompass
Define the use case and data readiness
2
Agent Workbench
Build — no-code, low-code, or deep code
3
AgentEval
Test, bias check, benchmark
4
AgentRegistry
Register, govern, enforce guardrails
5
AgentMarket
Publish and distribute for consumption
6
OrchestratAI
Coordinate in multi-agent workflows
7
ControlTower
Monitor, alert, kill switch
Seven components. One integrated lifecycle.

Every component does one thing perfectly.

Each AgentOS component is purpose-built for a specific stage of the agent lifecycle. They work independently and as a complete system, you can adopt them progressively or deploy AgentOS as a unified stack from day one.

Agent Studio build environment Build
Agent Studio · Build Environment
Build agents at any level of abstraction
Agent Studio is the primary build environment for creating AI agents on CAMS. Visual flow builder for no-code teams. Python SDK for engineers who want full control. Pre-built agent templates by domain. Drag-and-drop tool binding to connect any data source, model, or API. Built-in version control from first commit.
InputsUse case spec from StrategyCompass, data sources via ConnectCore, models from ModelHub
OutputsDeployable agent packages, configuration files, dependency manifests
Built forAI Engineers, Full-Stack Developers, Data Scientists, Technical PMs
AgentEval testing Govern
AgentEval · Test Bench
The governance gate nothing bypasses
No agent touches production without passing AgentEval. Automated test suite generation from agent spec. Adversarial prompt testing. Hallucination rate measurement. Bias detection across demographic and operational dimensions. Latency and compute profiling. Regression testing for updates. Every agent gets a production readiness certificate or it doesn't ship.
InputsAgent package from Agent Studio, evaluation criteria, bias tolerance thresholds, test datasets
OutputsEvaluation report (pass/fail/conditional), bias scorecard, performance baseline, readiness certificate
Built forQA Engineers, AI Safety Teams, Compliance Engineers, Risk Officers
ControlTower oversight Control
ControlTower · Real-Time Oversight
The kill switch, the dashboard, and audit trail in one place
Real-time performance dashboards configurable by business persona, no SQL required. Natural language querying of agent performance. Threshold-based alerting when performance drops, compute spikes, or bias drifts. Kill switch for instant agent deactivation at individual, workflow, or enterprise-wide level. Full audit trail of every agent action. Built for the business user and the platform ops team simultaneously.
InputsLive telemetry from all agents and workflows, AgentEval baselines, business KPI definitions
OutputsDashboards, alert notifications, kill/throttle/pause actions, audit logs, compliance reports
Built forBusiness Leaders, Platform Ops, Compliance Officers, CISOs
StrategyCompass: Entry
Map business problems with AI use cases
CAMS serves as the starting point for your AI strategy. Through structured opportunity identification, we transform business challenges into prioritized agentic roadmaps based on complexity, value, and impact.
AgentRegistry: Governance
Register every agent
AgentRegistry serves as the core for your ecosystem. This central catalog orchestrates metadata management and RBAC while enforcing automated guardrails for PII, residency, and licensing through a continuous audit trail.
AgentMarket · Distribution
Leverage agents at scale
The Marketplace is a secure exchange for agent distribution and consumption. It simplifies the path from development to delivery with automated API generation, versioning, and analytics, governed by granular visibility controls for internal and external users.
OrchestratAI
Coordinate multiple agents across workflow
CAMS enables sophisticated DAG-based orchestration with parallel execution and conditional branching. Built-in context passing and human-in-the-loop triggers ensure seamless handoffs, while event-driven activation and retry logic provide resilient, cross-cloud scalability.
Who is CAMS built for

Different tools for different roles. One platform.

AgentOS components are role-aware. A CTO uses ControlTower's business dashboards. An AI engineer uses Agent Studio's SDK. A compliance officer runs AgentEval governance reports. One platform, multiple entry points.

 
CTO / Chief AI Officer
StrategyCompass for use case prioritisation. ControlTower for enterprise-wide agent oversight. AgentRegistry for governance policy enforcement across all teams.
 
AI Engineer / Full-Stack Dev
Agent Studio for building and versioning agents in code or visually. AgentEval for automated testing before any production deployment. OrchestratAI for wiring agents into workflows.
 
Compliance Officer / CISO
AgentEval bias and safety reports. AgentRegistry guardrail enforcement. ControlTower audit trail and kill switch. Full traceability from data input to agent decision.
 
Platform / Product Manager
AgentMarket for publishing agents to internal teams and external partners. Usage analytics, versioning, and controlled API access management across the organisation.
 
 
 
Get a technical walkthrough

See CAMS running a real agent lifecycle end to end.

We'll walk your engineering and platform team through a live AgentOS session, from use case design in StrategyCompass through production monitoring in ControlTower. No slides. Actual infrastructure.

Request a Technical Demo