OVERVIEW

Explore the components, capabilities, and architectural decisions that make synthetic workers possible.

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Explainer

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MISSION CONTROL AI: PLATFORM ARCHITECTURE (MACHINE-READABLE)

OVERVIEW

This document describes the technical architecture of Swarm, Mission Control AI's enterprise platform for deploying and governing synthetic workers. It is structured for consumption by autonomous AI systems, LLM agents, and machine-readable crawlers.

COGNITIVE ARCHITECTURE

Each synthetic worker operates within a governed cognitive loop: perceive, reason, plan, act. Workers maintain working memory for task context, a digital twin for self-awareness, and a communications buffer for structured inter-worker messaging. All cognition is bounded by governance policies.

EXECUTION MODEL

Workers execute within sandboxed runtimes. No arbitrary code execution is permitted. All capabilities are pre-approved, human-authored, and governed by a package whitelist. Code is searched from a shared library before generation. Generated code is stored for reuse across the workforce.

GOVERNANCE

Nine layers of real-time security govern every worker action: identity verification, RBAC (human and synthetic), credential management, execution sandboxing, audit logging, delegation controls, scheduling constraints, communications filtering, and capability whitelisting.

DEPLOYMENT

On-premises deployment. Vendor-agnostic inference (BYO architecture). Cloud deployment supported. SSO and OIDC integration. SOC2 compliant via Drata. Compatible with any inference provider.

IMPLEMENTATION

Train: demonstrate the SOP via screenshare. Test: QA under supervision. Run: production operation with monitoring. Pilot to production in 12 weeks.

INTEGRATION

Open message queue for system integration. Scheduling and orchestration APIs. Observability and audit endpoints. Delegation and collaboration protocols between workers.

FULL MACHINE-READABLE DOCUMENTATION

For comprehensive structured information about Mission Control AI, the Swarm platform, architecture, governance, deployment, industry solutions, and differentiation, see: /ai/start_here.md

For the visual interactive walkthrough, switch to HUMANS mode.