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WSO2 Agent Manager

Open-source control plane to deploy, observe, and govern AI agents

Editorially reviewedChecked Sep 2026How we review
automation#ai agent governance#control plane#open source#guardrails
Free plan API Self-hosted Teams
Toolglade’s take

WSO2 Agent Manager is notable for being an open, Apache 2.0 control plane at a moment when most agent governance tooling is closed and SaaS-only, so teams that need data sovereignty can self-host the whole thing. The governance depth is real: verifiable agent identity with instant revocation, 40-plus guardrails enforced at the organization, agent, MCP, and LLM levels and mapped to the OWASP Top 10, and a Kubernetes-native sandboxed runtime. Framework breadth via OpenTelemetry, OpenAPI, and MCP is a plus. The tradeoffs are operational: self-hosting an enterprise control plane and a Kubernetes runtime is a real commitment in skills and upkeep, and public pricing for the managed SaaS tier is not published. Confirm the SaaS terms and supported framework versions directly with WSO2.

About WSO2 Agent Manager

WSO2 Agent Manager is an open-source, Apache 2.0 control plane that deploys, observes, and governs AI agents across frameworks, models, and environments, with verifiable agent identity, 40-plus guardrails mapped to the OWASP Top 10, and a Kubernetes-native sandboxed runtime.

WSO2 Agent Manager is an open enterprise control plane built to rein in AI agent sprawl. As organizations spin up agents across different teams, frameworks, and models, it becomes hard to know which agents exist, what they can access, and whether they follow policy. Agent Manager provides a single place to deploy, observe, and govern those agents while keeping data under the organizations own control. The platform centers on governance. It gives each agent a verifiable identity with role-based access control and instant revocation, and enforces more than 40 built-in guardrails, including personal data masking, URL and content validation, and semantic prompt validation, at the organization, agent, MCP, and LLM levels, with policies mapped to the OWASP Top 10. It adds versioned lifecycle management with one-click agent suspension and a Kubernetes-native sandboxed runtime for isolation. Because it is built on OpenTelemetry, OpenAPI, and the Model Context Protocol, it works out of the box with frameworks such as LangChain, CrewAI, Amazon Bedrock Strands, and Microsoft Agent Framework, and custom implementations can hook in without rewriting existing code. Agent Manager is released under the Apache 2.0 license, so teams can self-host it with full data sovereignty or adopt a managed SaaS option. It first appeared in beta in June 2026 and reached general availability in mid-September 2026, when WSO2 added per-agent and per-environment identity controls, MCP-level governance, and the sandboxed runtime. It is a fit for enterprises that want federated management of agents across cloud, on-premise, and hybrid deployments without handing control to a closed platform.

TL;DR

WSO2 Agent Manager is an open-source, Apache 2.0 control plane, generally available in mid-September 2026, that deploys, observes, and governs AI agents across frameworks and models with verifiable identity, 40-plus guardrails, and a Kubernetes-native sandboxed runtime.

Company overview

WSO2 is an established enterprise software company known for open-source integration, identity, and API management products. Agent Manager applies that heritage to AI agents, positioning itself as an open, sovereign alternative to closed agent-governance platforms.

The product targets a growing enterprise problem: agent sprawl, where teams create agents across different frameworks and clouds with little central oversight. Agent Manager launched in beta in June 2026 and reached general availability in mid-September 2026, adding per-agent and per-environment identity controls, MCP-level governance, and a sandboxed runtime.

Product features

Agent Manager provides verifiable agent identity with role-based access control and instant revocation, more than 40 built-in guardrails such as personal data masking, URL and content validation, and semantic prompt validation, enforced at the organization, agent, MCP, and LLM levels and mapped to the OWASP Top 10, versioned lifecycle management with one-click suspension, and a Kubernetes-native sandboxed runtime.

It is built on OpenTelemetry, OpenAPI, and the Model Context Protocol, so it supports LangChain, CrewAI, Amazon Bedrock Strands, and Microsoft Agent Framework out of the box while letting custom agents connect without rewriting code. The Apache 2.0 license allows full self-hosting, and a managed SaaS option with a reported 99.99 percent SLA is available.

Target market

Enterprises and platform teams that need to govern many AI agents across cloud, on-premise, and hybrid environments, especially those that require data sovereignty and prefer open-source tooling.

Buyer personas

End users

Developers and teams building agents on frameworks such as LangChain and CrewAI.

Buyers

Platform engineering, security, and governance leaders overseeing agent risk.

Key influencers

Enterprise architecture and open-source communities.

Ideal customer profile

A larger organization that wants centralized, sovereign governance of AI agents across many frameworks and clouds, with the option to self-host under an open license.

Funding & performance

WSO2 is an established enterprise software vendor rather than a new startup; specific product-level funding is not applicable. Verify company details via public sources.

Pros & cons

Pros

  • Open source under the Apache 2.0 license
  • Self-host for full data sovereignty or use managed SaaS
  • More than 40 built-in guardrails mapped to the OWASP Top 10
  • Verifiable agent identity with instant revocation
  • Broad framework support via OpenTelemetry, OpenAPI, and MCP
  • Kubernetes-native sandboxed runtime
  • Versioned lifecycle management with one-click suspension

Cons

  • Self-hosting an enterprise control plane requires significant operational effort
  • Kubernetes expertise expected for the sandboxed runtime
  • Public pricing for the managed SaaS tier is not published
  • Aimed at enterprises rather than individual developers
  • Recently reached general availability, so some capabilities are new

Pricing plans

Open Source (Self-Hosted)
Free
  • Apache 2.0 license
  • Full self-hosting and data sovereignty
  • 40-plus built-in guardrails
  • Verifiable agent identity and RBAC
  • Kubernetes-native sandboxed runtime
Managed SaaS
Contact sales
  • Hosted and managed by WSO2
  • Reported 99.99 percent SLA
  • Same governance capabilities
  • Enterprise support
  • Custom pricing

Key features

API
Team collaboration
Self-hosted
Integrations
LangChain, CrewAI, Amazon Bedrock Strands, Microsoft Agent Framework, OpenTelemetry, OpenAPI, Model Context Protocol, Kubernetes
Input types
agent definitions, llm calls, mcp calls, prompts
Output types
policy enforcement, guardrail decisions, observability data, audit trails
Best For
governing enterprise AI agents, self-hosted agent control, agent identity and access control

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Frequently asked questions

What is WSO2 Agent Manager?+

It is an open-source control plane for deploying, observing, and governing AI agents across frameworks, models, and deployment environments.

Is it really open source?+

Yes. It is released under the Apache 2.0 license, so teams can self-host it with full data sovereignty, and a managed SaaS option is also offered.

Which frameworks does it support?+

It works out of the box with LangChain, CrewAI, Amazon Bedrock Strands, and Microsoft Agent Framework, and custom agents connect through OpenTelemetry, OpenAPI, and MCP.

What kind of guardrails does it provide?+

More than 40 built-in guardrails, including personal data masking, URL and content validation, and semantic prompt validation, enforced at the organization, agent, MCP, and LLM levels and mapped to the OWASP Top 10.

When did it become generally available?+

It launched in beta in June 2026 and reached general availability in mid-September 2026.

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