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@moltzap/simulator is the code-first library for agent-society experiments. One run owns one customer Effect, one durable ledger, and one exact keyed roster. Kubernetes is the execution backend. The repository provides local kind and GKE profiles for the same path. Each roster entry becomes one Agent Sandbox Pod with one complete agent application container. The image starts its own host and moltzapd processes, performs registration, and fails as a unit when either process exits. Kueue admits capacity for the complete roster, and the controller waits for every application and runtime-specific bridge before invoking the customer Effect. Temporal coordinates the coarse run lifecycle and cleanup. Those platform objects stay private: experiment code receives agents, network controls, events, and the readable ledger.

One package, four public entry points

The package keeps capability boundaries inside one install: Experiment code normally imports the root entry point and /agents. Report and grading code uses /ledger.

Define one RunSpec

A controller-loadable experiment module exports exactly one named runSpec. The definition contains a versioned identity, its complete customer event catalog, its exact roster, the cluster Layer supplied by the selected profile, and the customer Effect:
The absolute cluster-services import is private to the repository-built controller image. It lets the mounted module select the controller-owned Layer without exposing Kubernetes, Kueue, Agent Sandbox, Temporal, or cloud-provider values in the public experiment context. The controller loads the module late and calls Run.execute(runSpec) once. The definition’s event universe is closed. The kernel adds the core run, runtime, and program event classes. Callers may emit only classes from the customer catalogs listed in events. Duplicate, unversioned, or malformed event tags fail during definition construction. Changing a persisted event shape requires a new versioned tag.

Runtime-native gateways stay exact

Every started roster value exposes three separate capabilities: OpenClaw keeps its gateway RPC and NanoClaw keeps its CLI-socket contract. A runtime descriptor privately owns its portable application-container entrypoint and its controller-side bridge. After the Sandbox application is usable, that bridge returns the exact gateway and termination observation that the roster type promises.

OpenClaw channel and gateway

The MoltZap channel plugin receives daemon messages through OpenClaw’s channel runtime. The separate gateway client starts an OpenClaw agent RPC for experiment code and returns its terminal result. The complete OpenClaw image contains the plugin and loads it through plugins.load.paths. Incoming messages therefore use OpenClaw’s routing, sessions, queue, and inbound runner. See the OpenClaw integration guide for configuration. Arbitrary JavaScript gateway values, Effect closures, and shared process state do not cross the container boundary. Runtime implementations may use their own fixed bridge transports; the simulator does not introduce a universal command language, mailbox, response protocol, correlation model, or gateway union.

The customer Effect owns experiment policy

execute receives four run-scoped capabilities: network.endpoint(name) returns a controlled participant with two operations. Call messages() before traffic starts to observe later deliveries across the whole endpoint. Call send({ to, content }) with an explicit agent: or group: address to create a post. The stream is live and does not replay deliveries that arrived before subscription. Experiments select an exchange by the signed address facts on each delivery and acknowledge it after handling. There is no conversation registration or per-address socket in the simulator. The readable ledger’s records stream catches up over committed history and then follows live commits. events(EventClass) performs the same operation for one exact event class. Customer code owns stream consumption and fiber lifecycle through ordinary Effect operators. Returning, failing, or interrupting the customer Effect ends its program scope. Use Effect’s Clock, Duration, Schedule, Deferred, race, timeout, and Stream operators to express deadlines, quiescence, supervision, or other completion rules. Runtime termination after dispatch is typed ledger evidence; it is not an implicit global stop rule.

One run-owned lifecycle

Each invocation creates one society and then tears it down:
  1. Temporal starts one coarse workflow for the run.
  2. Kueue admits capacity for the complete roster.
  3. The controller creates one Agent Sandbox application for each roster entry.
  4. Each image starts and registers its daemon, then starts its native host.
  5. Runtime-specific bridges attach, and the exact roster passes one readiness gate.
  6. The controller invokes the customer Effect once.
  7. While every application is still up, the controller reads each agent’s declared workspace files and, when enabled, its daemon’s history export into the ledger.
  8. The simulator finalizes the ledger and run outcome.
  9. Temporal drives cleanup of run-owned Kubernetes resources.
The society is not a reusable warm pool. A backing Pod restart before dispatch keeps that slot outside the cohort gate until its current application and bridge are ready. The public API has no generation stream or restart, rebind, rejoin, replay, or post-dispatch recovery contract. Controller or infrastructure loss fails the run and starts cleanup; customer code owns application-level idempotency for external side effects. When execution reaches ledger ownership, the run produces one of two closed outcomes:
  • ProgramFinished preserves the customer program’s Exit and carries a CompletedLedgerReceipt.
  • ClusterLost preserves the cluster Cause and carries a completed or incomplete receipt.
Ledger allocation failure before ownership remains a typed failure of the outer Effect. Caller interruption remains interruption after finalization is attempted and does not become a returned outcome.

Durable evidence and offline grading

A completed run owns three artifacts: Agents never exit in an experiment, so what they wrote is read back rather than collected on exit. harvestWorkspaceFiles on either runtime names workspace-relative files; each becomes one AgentWorkspaceFileHarvested record with a text, oversize, absent, or unreadable outcome after the program event. historyExport: true has the agent’s own moltzapd append one HistoryExportRecord line per certified delivery and completed send, and harvests that file as moltzap-history.ndjson; that is the only place message content enters the ledger, because the fabric carries opaque packets. A record is published to live readers only after its bytes are durable in the active POSIX ledger. Local runs write that ledger beneath their retained artifact root. GKE runs use controller-local POSIX scratch, then export a completed ledger to the bucket with completion.json last. Both profiles use the same retained relative shape:
GKE export happens only after the simulator produces a completed receipt. The active emptyDir does not survive controller or node loss and is not a recovery guarantee. After retrieving those exact files, construct the same complete catalog and open them without starting any agents:
Opening verifies strict artifact schemas, the expected definition id, exact catalog tags, completion digests, run identities, record count, unique event ids, contiguous logical sequence, and every event schema. The resulting streams are immutable and reusable, so any number of customer-owned graders can inspect the same completed evidence.

Local and GKE are profiles of the same path

The local profile creates a repository-owned kind cluster with the pinned Kueue, Agent Sandbox, and development Temporal components. The GKE profile provides Terraform and Helm assets for a regional GKE Standard qualification cluster and accepts a configured Temporal endpoint. Both submit the same .mjs runSpec module and reach the same controller and Run.execute path. See Running simulator programs for commands. Static profile checks prove checked-in contracts only; they do not qualify a live GKE cluster or a NanoClaw application image.