WSO2 Agent Manager enters the market as a new open control plane designed to bring identity, governance, and scale to enterprise AI agents. WSO2 announced the beta launch of WSO2 Agent Manager, an open platform that enables enterprises to identify, govern, secure, and scale AI agents across environments. The launch comes as organizations move from AI experimentation toward production use cases.

Moreover, enterprises are accelerating AI adoption to avoid falling behind. This shift is driven by expectations of non linear productivity gains from agentic systems. However, operational maturity is still developing. Many teams face a difficult choice between moving fast with limited control or slowing down to build governance frameworks for each environment. According to Gartner, more than 40 percent of agentic AI projects are expected to be canceled by 2027 due to rising costs, unclear value, and insufficient risk controls.

In this context, WSO2 Agent Manager is positioned as an enterprise control layer for the AI era. It aims to make AI agents visible, governed, and accountable within enterprise systems. “AI agents introduce a fundamentally new challenge. Their autonomy and probabilistic behavior make them powerful but also difficult to control,” said Rania Khalaf, Chief AI Officer at WSO2. “With WSO2 Agent Manager, we’re bringing agents into the enterprise fabric where they are no longer invisible processes, but identified, governed, accountable entities that can be securely operated at scale.”

Additionally, many organizations are already facing agent sprawl. This includes limited coordination, inconsistent controls, and rising compliance risks. The issue is often worsened by fragmented tools across frameworks, runtimes, and hyperscalers. To address this, WSO2 Agent Manager provides a centralized system of record for all agents. It allows organizations to innovate freely while maintaining consistent governance across environments.

Furthermore, the platform includes several key capabilities. It supports federated agent management across cloud, on premises, and hybrid environments from a single control plane. It also provides agent identity and access delegation, ensuring every action is authenticated, authorized, and auditable. In addition, centralized governance and guardrails allow policy enforcement across agents, LLMs, and tools to reduce risk and ensure compliance.

At the same time, WSO2 Agent Manager delivers visibility, traceability, and observability. It offers end to end tracing and evaluation of agent behavior. It also includes a secure and scalable runtime built on a Kubernetes native zero trust environment with isolation and lifecycle controls, including real time intervention. Importantly, it is designed as an open, framework agnostic foundation built on OpenTelemetry, OpenAPI, and MCP, supporting frameworks such as LangGraph, CrewAI, and Ballerina without vendor lock in.

WSO2 Agent Manager is released under the Apache 2.0 license and is designed to avoid vendor lock in. By using open standards, it supports digital resilience and enterprise flexibility while maintaining control and ownership of the technology stack. It is expected to become generally available in June 2026. The announcement was also highlighted alongside its recognition as Best Innovation in Open Source AI at AI TechAwards 2026.

In addition, WSO2 will showcase the platform at WSO2Con North America, taking place from May 20 to 22 in Austin, Texas. The event will feature workshops and customer stories focused on building, governing, and scaling AI agents in enterprise environments.

Overall, WSO2 Agent Manager aims to provide a structured approach to enterprise AI adoption, balancing innovation with governance and risk management. As agentic systems continue to evolve, WSO2 Agent Manager is positioned to support secure, scalable, and controlled deployment of AI agents across enterprise ecosystems.

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