AI estate discovery
Automatically discover agents, models, tools, data, and workflows across the organization’s AI estate, including distributed cloud, SaaS, Kubernetes, and device environments.
OpenController
Freemium
OpenController is Lyzr’s control plane for discovering, evaluating, governing, and monitoring AI agents, models, tools, data, and workflows across an enterprise AI estate. It is intended for teams managing agents across clouds, frameworks, runtimes, and environments.
什么是 OpenController？
OpenController is Lyzr’s unified control plane for enterprise AI agents and the environments in which they run. It is designed to bring agents, models, tools, data, and workflows into one operational view when they are distributed across cloud accounts, regions, SaaS applications, Kubernetes workloads, and devices.
Its lifecycle model covers four jobs: discover assets across the AI estate, evaluate and govern agents before production, monitor running agents and infrastructure, and use operational signals to improve performance, cost, and security. The product is positioned as an active control layer in the execution path rather than only a registry, dashboard, policy document, or alerting system.
OpenController is described as supporting any cloud, framework, model, and runtime. Lyzr also presents it as the governance layer within its broader agent platform, with Agentic OS coordinating function-level workflows and OpenController governing the environments where agents run.
OpenController 能做什么？
Pre-production evaluation and governance
Evaluate, validate, and govern agents and workflows before they reach production, helping teams establish an approval point before deployment.
Runtime monitoring
Monitor agents, applications, APIs, and infrastructure from one control plane while they are operating.
Operational improvement signals
Turn real-world usage, performance, cost, and security signals into information teams can use to improve agent operations.
Open-architecture coverage
The product is presented as working across clouds, frameworks, models, and runtimes rather than being limited to one technology stack.
Deployment and governance for named cloud runtimes
Lyzr states that it deploys and governs AWS AgentCore, Microsoft Agent 365, and Google GeAP cloud runtimes; the available material does not detail the required configuration for each.
使用场景
“Centralize a distributed agent estate”
Platform teams can use one control layer to identify and oversee agents and related assets spread across multiple clouds, regions, SaaS systems, Kubernetes workloads, and devices.
“Gate agents before production”
AI and automation teams can evaluate and validate agents and workflows before release, creating a lifecycle checkpoint rather than allowing unevaluated systems to move directly into production.
“Monitor production operations”
Operations teams can view agents, applications, APIs, and infrastructure from a common control plane when they need to follow runtime activity across different environments.
“Support governance and accountability”
Compliance and governance teams can use the product’s centralized view and runtime control positioning to oversee an expanding agent estate instead of relying only on separate registries, policies, or alerts.
“Improve deployed workflows”
Teams can use observed usage, performance, cost, and security signals to identify operational improvements after agents are deployed.
常见问题
What is OpenController?
OpenController is Lyzr’s unified control plane for AI agents, models, tools, data, workflows, applications, APIs, and infrastructure across an enterprise AI estate.
What stages of the agent lifecycle does it cover?
The source describes discovery, pre-production evaluation and governance, runtime monitoring, and improvement based on usage, performance, cost, and security signals.
Does OpenController support only one cloud or AI framework?
The product is presented as an open-architecture layer that supports any cloud, framework, model, and runtime. Specific compatibility requirements are not provided in the available material.
How does OpenController differ from an agent registry?
A registry records that an agent exists. OpenController is positioned as a control layer that can discover assets, govern agents before production, monitor them while running, and apply control in the execution path.
Which named runtimes does Lyzr say it can deploy and govern?
The product material names AWS AgentCore, Microsoft Agent 365, and Google GeAP cloud runtimes. It does not provide detailed setup instructions or integration limitations.
快速信息
- Product category
- Enterprise AI control plane
- Primary users
- AI, automation, platform, operations, compliance, and governance teams
- Core workflow
- Discover, evaluate, govern, run, monitor, and improve AI agents
- Architecture
- Open architecture across clouds, frameworks, models, and runtimes
- Named runtime coverage
- AWS AgentCore, Microsoft Agent 365, and Google GeAP
- Product site
- lyzr.ai
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