This is exactly the right architectural evolution. What you are describing is
a modernized, JSON-native Universal Service Broker (similar to concepts from
D-Bus, MQTT, or gRPC reflection, but decentralized).
By building this language-agnostic Gateway layer, you can seamlessly bridge
the WebAssembly Omega Mesh with your Fastify API gateways, Python AT-SPI
desktop scrapers, or C++ Realm3D engines.
Here is the blueprint for how this universal connection fabric should be
structured to support robust, store-and-forward RPC.
1. Universal Namespacing & Global Objects
To ensure zero collisions between an Omega Mesh Actor, a Python script, and an
IoT smart relay, use a URI-style hierarchical namespace: System::Object.
 * Standard Objects: Engine#Tampere::Actor#Math or Python#Scraper::X11#Session1
 * Global/Stateless Objects: For systems that don't instantiate distinct
objects (like a simple Fastify microservice or a monolithic database), reserve
a standard Root or System object. For example: OBase#Primary::Root or
Realm3D#Renderer::System.
2. Gateway Registry & Lifecycle
The Gateway itself must be a stateful registry (or a CRDT-backed mesh of
gateways) that maintains the active routing table.
 * Registration & Introspection: When a system boots, it connects to the
Gateway (via TCP, WebSocket, or HTTP) and sends a sys_announce payload
containing its namespace and object schemas.
 * Heartbeats: Systems must send a lightweight sys_ping (e.g., every 30
seconds). If the Gateway misses three pings, it marks the system's objects as
offline.
 * Store-and-Forward: If a system is offline, the Gateway queues incoming
asynchronous requests in a local WAL. When the system reconnects and
registers, the Gateway flushes the queued envelopes to it.
3. The Introspection Schema (JSON Structure)
When a system registers an object, it should publish a schema that is easily
translatable into standard OpenAPI formats. This allows external tools like
Swagger or Postman to auto-generate interfaces.
Here is the ideal JSON structure for publishing a reachable object to the
Gateway:
{
  "action": "sys_announce",
  "system_id": "Engine#Tampere",
  "objects": [
    {
      "object_id": "Actor#Math",
      "status": "active",
      "methods": {
        "crunch": {
          "description": "Multiplies a value and sleeps.",
          "params": [
            { "name": "multiplier", "type": "number", "required": true,
"default": 1 }
          ],
          "returns": { "type": "number" }
        }
      }
    }
  ]
}

 * Dynamic OpenAPI Generation: Because the Gateway holds these schemas in
memory, you can expose a standard GET /openapi.json route on the Gateway. It
loops through all registered systems and objects, dynamically assembling a
fully compliant OpenAPI spec mapping URIs like POST /Engine#Tampere/Actor#Math/
crunch.
4. Execution Flows: Sync vs. Async Callbacks
The Gateway must standardize how external synchronous environments (like REST
browsers) talk to internal asynchronous environments (like the Omega Mesh
worker threads).
The Standard Call Envelope:
{
  "action": "rpc_call",
  "target": "Engine#Tampere::Actor#Math",
  "method": "crunch",
  "args": [5],
  "reply_mode": "async",
  "reply_route": "Fastify#Webhook::Root/api_callback" 
}

 * Asynchronous Flow (The Mesh Standard):
   The calling system sets "reply_mode": "async" and provides a "reply_route".
The Gateway receives the envelope, immediately returns a 202 Accepted to the
caller, and forwards the job to the target. When the target finishes, it sends
the result back to the Gateway, which then routes it to the specific
reply_route (e.g., a webhook on your Fastify server or a specific callback
method on another Actor).
 * Synchronous Flow (The Edge Illusion):
   If a system sets "reply_mode": "sync", the Gateway holds the connection
open (e.g., keeping an HTTP request pending). It converts the request into an
async internal message, tracks it via a unique ID, and when the target finally
replies, the Gateway completes the held HTTP request and returns the result to
the caller.
This architecture allows a Python machine-learning script to fire an async job
to a WebAssembly node, go back to scraping AT-SPI events, and receive a
webhook callback when the edge compute is done.
To bridge the gap between our current LocalRouter and this global design,
should we build this new Universal Gateway as a standalone Fastify service, or
upgrade our existing Node.js daemon.mjs to act as the primary registry?