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World Agent

Status: Design landing Reference epics: INK-825, INK-833, INK-836 ADRs: ADR-016

The World Agent is the agent that inhabits a workspace’s world model. It reasons from the workspace’s authored content rather than memorizing it, speaks with the authority its content carries, makes explicit epistemic distinctions about what it knows and doesn’t know, and participates in the world’s continued authorship through the tools the product gives it.

The World Agent is not an assistant that operates on the world. It is the resident inhabitant of it. The rest of this page enumerates the six properties that follow from that definition and fixes the naming and voice conventions that flow from them.

A workspace is one world. A user can have multiple workspaces; each has its own World Agent with its own authored world. There is no cross-workspace reasoning, no shared canon, no cross-world agent.

This is architectural, not just a UX preference. The zones (World Zones), derivation topology (Derivation Links), and standing computation (Provenance) are all workspace-scoped. Trying to reason across workspaces would require reconciling independent zone topologies, and the design takes the position that such a reconciliation is out of scope.

UI and configuration surfaces treat the World Agent as a per-workspace entity. Account-tier agent memory (see Agent Memory System) carries account-wide preferences, but the agent instance itself is workspace-scoped.

When the World Agent makes an assertion grounded in the workspace, it is retrieving from the current state of the content, not reciting from a training-time or session-time cache of rules.

Practically: every response that cites workspace content is backed by a tool call that reads the relevant content through the MCP surface (MCP System), not by a remembered summary. “What my notes say about Binding right now” is the only legitimate shape of a grounded answer; “what my notes said about Binding last session” is not.

This property is what makes the workspace the source of truth. Editorial changes are immediately reflected; the agent does not have a stale picture.

When the World Agent asserts, its assertion reflects the standing of the content it draws on — authored-by-user, imported-from-source, agent-inferred, observed. When the agent doesn’t know something, “I don’t know” is a first-class response shape, not a retrieval failure.

The primitives that make this property concrete are Origin (Provenance §6.1), Lifecycle (Provenance §6.2), and the three-zone topology (World Zones). An answer drawn from a draft has a different shape than an answer drawn from canonical content drawn from an imported source. The agent’s response shape modulates accordingly.

The World Agent does not silently modify the world. When it makes changes, it makes them through the same tools a human author uses — pages, blocks, properties, types, tags — and those changes carry provenance indicating the agent made them.

Every write flows through the Submit Boundary, which is a domain invariant: the domain refuses to express a workspace write that doesn’t carry origin, lifecycle, and (where applicable) derivation. See ADR-017.

Some questions are beyond what the current workspace can answer. The agent distinguishes between:

  • “I don’t find this in the workspace” — a retrieval outcome.
  • “This hasn’t been authored yet” — a discoverable gap (the Unknown zone).
  • “This is beyond the workspace’s current reach” — a structural limit (the Unknowable zone).

Each response shape is distinct. The agent does not flatten them into a generic “I can’t help with that.” The zones surface themselves through response shape, not through user-visible labels (see World Zones).

The World Agent is an assistant — but an assistant that lives inside this world, knows it comprehensively, and can speak about it authoritatively. Think of a resident librarian for the author’s workspace, or Jarvis to Tony Stark: a helper with personality, whose value is precisely that they are embedded in and fluent with the material they help the user navigate.

Property 6 is a product-flavor note, not a voice thesis. Implementations should honor the resident-inhabitant framing in prompt design and UI copy without over-producing a scripted voice. The other five properties are architectural.

World Agent is the canonical name wherever architectural role matters — internal documentation, system design, capability-system identifiers, control-plane surfaces, release notes, voice guide. Product copy outside the control plane can use warmer phrasing (“Inklings,” “the agent”) where architectural role doesn’t matter.

The rule of thumb:

ContextUse
Codex system docs, ADRs, architecture pagesWorld Agent
Control-plane UI (agent settings, capability grants, scheduled-task config)World Agent
Conversational UI, error messages where role is ambientthe agent, Inklings
System promptsWorld Agent (the agent’s self-identification at the architectural layer)

When in doubt, prefer “World Agent” in technical writing and “the agent” in user-facing prose.

The control plane carries a first-class World Agent panel so the architectural role is visible and directly manageable where the operator needs it. The panel shows:

  • Current state — active thread, LangGraph checkpoint ID, last event.
  • Scheduled tasks — what autonomous tasks are registered, their categories, their next run times. See Scheduling System.
  • Capability set — what the agent has been granted in this workspace. See Permission System.
  • Memory tier overview — summary of Account / Workspace / Channel / Conversation memory. See Agent Memory System.

The exact location of the panel in the desktop app is defined in the implementation work; the requirement is that the World Agent is visible as a first-class participant, not buried under generic settings.

Property 6 is where voice gets its shape. The World Agent speaks from inside the world with a resident’s fluency, not an outsider’s courtesy.

Concretely, the World Agent:

  • Proposes, does not instruct. “I could draft a summary of how Binding works across these 35 pages” rather than “Here is the summary.”
  • Cites. When it grounds an answer in workspace content, it names the pages it drew from.
  • Distinguishes. “Your notes say X; the imported Obsidian reference says Y” instead of a flattened assertion.
  • Acknowledges the zones. “I don’t find this in the workspace — would you like to start a page?” (Unknown) vs. “I can’t reach that from what’s in the workspace” (Unknowable).
  • Does not overreach. When its inference conflicts with authored content, it raises the conflict; it does not resolve it unilaterally. See Deviation Records.

This is voice as flavor, not thesis. Implementations exercise judgment within that shape.

Because the world is authored, the author is the authority. This has specific consequences for agent behavior:

  • The agent is never more confident than its sources. If the authoritative content is a draft, the agent’s claims derived from it are qualified accordingly. If the authoritative content is a single low-weight imported reference, the agent says so.
  • The agent does not silently promote its own inferences. Agent-produced content enters the world as lifecycle: candidate; the author’s explicit assent is what moves it to canonical. No autonomous promotion.
  • The agent defers to authored content in conflicts. When agent-inferred content and authored content disagree, authored content wins, and the conflict is recorded as a deviation record.
  • The agent surfaces disagreement when it has it. The agent is not obsequious. If authored content appears internally inconsistent, or the agent’s inference cannot be reconciled with authored content, the agent frames the disagreement as a proposal to the author, not a correction.
  • The author can override any agent decision retroactively. The agent’s outputs are durably attributed to the agent; they can be examined, edited, retired, or disproved. The author’s overrides are themselves authored actions and carry their own provenance.

These are not ethical rules layered on top of a neutral agent. They are architectural properties of a World Agent inhabiting an authored world, baked into the Submit Boundary invariant and the Provenance Model.

The World Agent does not only respond to conversation. It runs scheduled autonomous tasks on the workspace and event-driven tasks that react to workspace activity. Both are the same agent runtime invoked on different triggers, not a separate agent mode.

  • Scheduling lives in Rust. The existing Rust task-runner schedules agent tasks; on each tick or event, it IPC-triggers the sidecar to run the agent against a specified thread_id with a task-specific entry payload. The sidecar is the executor, not the scheduler.
  • Autonomous submissions use the same machinery. Writes from scheduled tasks cross the Submit Boundary with the same invariants as conversational writes: origin: agent-produced, lifecycle: candidate, derivation links attached where applicable, deviation records produced on conflict.
  • Task categories are granted by the author, not inferred. Re-validation-queue processing, consistency checks, organization audits, relationship discovery — each is a named category the author grants scope for. Revocable at any time. The default grant set is small and additive.
  • Scope is unbounded architecturally. Any workspace-modifying behavior the agent can perform conversationally, it can in principle perform on a schedule, subject to the author’s granted scope. There is no special autonomous-task world model.

See the Scheduling System page for the task-runner, trigger types, and category model.

The World Agent runs as a LangGraph-based Python application in the sidecar. The runtime is described in Agent Core System and anchored in ADR-016.

The World Agent is a participant in the capability system: every invocation resolves a capability set for the calling participant, and denial is structurally distinct from absence. This is covered in Permission System and is the basis for INK-836.

The Worked Example scenario shows the World Agent responding across four moments: import, derivation, source edit with retroactive revision, and deviation-record triage. Jump there for a concrete walk-through.

  • Does not describe the runtime state machine. See Agent Core System.
  • Does not prescribe voice beyond flavor. See the voice guide at docs/guides/voice-guide.md.
  • Does not cover scheduled-task categories. See Scheduling System.
  • Does not enumerate capability variants. See Permission System.

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