Wanaku — A Governed Action Proxy for AI Agents
Wanaku is a governed action proxy for AI agents. It sits between agents and the systems they act on, intercepting Model Context Protocol (MCP) tool calls, agent-to-agent messages, and inference traffic. Before version 0.2.0, the project was named Wanaku MCP Router. It was renamed to Wanaku Governed Execution Proxy to reflect its expanded scope.
Wanaku supports open standards for AI agents and provides first-class integration with enterprise frameworks, including Apache Camel and Quarkus. For example, integration developers build Apache Camel routes and use Wanaku's Camel Integration Capability to publish them as tools. Agents call those tools with parameters, but Wanaku runs the work. Agents never access backend systems directly. The proxy enforces policy, identity, data controls, and audit requirements.
The project name comes from the origin of guanaco, a camelid native to South America.
Key Features
- Agent Isolation — Agents call tools through Wanaku; they never reach backend systems directly
- Policy Enforcement — LLM-powered evaluators + WASM action scripts classify, filter, and block tool calls in the proxy layer
- Identity & Auth — Authentication and authorization via oauth2-proxy and Keycloak, enforced before actions reach backends
- Tool Discovery — Auto-discover tools from upstream MCP servers; integration developers publish Camel routes as tools
- Namespace Isolation — Organize tools and resources across isolated namespaces per team, tenant, or environment
- Extensible Architecture — Plugin system via feature crates and a composable filter pipeline
- Admin Dashboard — Web UI for managing tools, resources, prompts, and forwards
- Container-Ready — Multi-arch images (x86_64, aarch64) published automatically
