What you are describing is one of the most powerful and resilient distributed
system architectures ever designed: the Actor Model, which is also the exact
foundational architecture of LPC (Lars PensjC6 C) used in distributed virtual
worlds (MUDs).
Instead of traditional OOP where objects share the same memory space and
tightly couple their call stacks, you are treating every object as an
independent micro-server.
Your intuition is 100% spot on. Here is exactly how this maps onto the
HAUKI-X86 architecture we just built, and how we achieve both synchronous and
asynchronous inter-engine communication.
1. The Object Representation (The Orchestrator's Job)
In the Node.js Orchestrator (your Fastify Gateway or a background Supervisor),
an "Object" is just a data structure sitting in memory or a database. It
doesn't "run" continuously; it rests at zero CPU cost until a message arrives.
const ObjectRegistry = {
  "OBJ#123": {
    state: { "hit_points": 100, "name": "PlayerOne" },
    methods: {
      "hello": [ /* optimized binary bytecode for the hello function */ ],
      "take_damage": [ /* bytecode */ ]
    }
  }
};

2. The Execution Lifecycle (Loading State)
When an event triggers OBJ#123.hello(), the Orchestrator doesn't need a heavy
setup. It performs three steps:
 * It grabs the state dictionary for OBJ#123 and injects it into the VM's
initialEnvMap.
 * It grabs the hello bytecode and passes it to the Worker.
 * The crucial addition: When the VM finishes, the Orchestrator extracts the
mutated globalEnv from the VM and overwrites OBJ#123.state in the registry.
This means objects are stateless in execution, but stateful in storage.
3. Inter-Object Communication (call_other)
Because objects live in completely isolated memory silos, they cannot read
each other's variables directly. They must use a Foreign Function Interface
(FFI) to pass messages.
We inject call_other into the VM's Standard Library just like we did with
print.
/ Inside the JS Orchestrator / Standard Library injection:
const ffi = {
  "call_other": (targetId, methodName, ...args) => {
     // 1. Orchestrator looks up targetId (e.g., "OBJ#456")
     // 2. Extracts target's state and requested method bytecode
     // 3. Spawns/uses a VM to execute it
     // 4. Returns the result back to the calling VM
  }
}

4. Sync vs. Async (The OP_YIELD Superpower)
This is where the lock-free SharedArrayBuffer (SAB) becomes a superpower.
If OBJ#123 calls call_other("OBJ#456", "get_status"), we have two ways to
handle it:
The Synchronous Way (Fast, but blocks the VM):
If the target object is in the same Node.js process, the FFI function simply
executes the second VM synchronously. OBJ#123's worker thread sits and waits
for a few milliseconds while OBJ#456 resolves, then pushes the result to the
stack and continues.
The Asynchronous Way (Networked / Timeouts):
What if OBJ#456 lives on a completely different Edge Server, or involves a
database lookup that takes 200ms? If the VM spins and waits, it wastes CPU.
This is where we implement OP_YIELD (which is already sitting unused in our
Opcodes dictionary!).
 * OBJ#123 calls ["call_other_async", "OBJ#456", "fetch_data"].
 * The VM pushes the request to the SAB and executes OP_YIELD.
 * OP_YIELD writes a specific status (e.g., STATUS = 6: AWAITING_I_O) to the
SharedArrayBuffer and safely halts its own internal execution loop, saving its
exact Call Stack and Instruction Pointer.
 * The Node.js Orchestrator sees STATUS = 6. It fires off the network request
to OBJ#456.
 * ... time passes. The VM consumes 0% CPU ...
 * The network replies. The Orchestrator writes the result into the SAB and
flips the status back to STATUS = 1: RUNNING.
 * The VM wakes up, pops the FFI result off the stack, and seamlessly resumes
execution!
Why this Architecture Scales
By strictly enforcing call_other over FFI, you have accidentally designed an
architecture capable of massive parallelization.
If OBJ#123 and OBJ#456 are on the same machine, call_other just runs a local
function. If they are on opposite sides of the world, call_other routes the
payload over a WebSocket or HTTP tunnel. The JSON-Lisp agent inside the VM
does not know or care where the other object lives.