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Platform architecture

Architecture overview

Platform architecture pyramid — six-layer full stack + cross-session three-role flow

The six-layer stack spans from model services to industry integrations, each tuned for long-horizon tasks. On the left, three roles chain automatically across sessions: requirements analyst → development engineer → test engineer, coordinated by the Hook system.

Layers

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Request lifecycle

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Distributed execution

Distributed intelligence — Orchestrator + Ledger + MemoryOS + Hook + CompactingContext

Five components reinforce one another to deliver long chains ordinary agents struggle to complete:

  • Orchestrator + Ledger — execution brain: step tracking, discipline checks, replan fuses
  • Agent runtime + DigestEngine — live reasoning, write-then-read, L1–L6 digest chain
  • CompactingContext — three-level auto compression with live token budget awareness
  • Skill repository / MemoryOS / Hooks — three supporting pillars
  • Enterprise knowledge base (ES) — vector index + cross-document semantic search

Full six-layer stack

Six-layer stack — Channel / orchestration / Skill / tools / engine / data & memory

From channel ingress to infrastructure, each layer is pluggable. Map to core concepts:

Enterprise capability benchmark

Compared to a16z Deep Agent’s seven capabilities; four show an architectural lead

CapabilityCommon industry approachcombo agent approachDelta
Planning & disciplineAgent-managed todo listOrchestrator Ledger: step tracking + discipline + replan fuseStep change
Context managementSummarize once over a thresholdDual-layer six-level fallback: Agent compression + Orchestrator digest chainStep change
MemoryManual memory filesMemoryOS 10-source auto routing: hot / warm / long-termStep change
Skill captureSkill file prompt injectionFull skill lifecycle: parse → validate → gated inject → team distributionBeyond

Design principles

  • Skills are capabilities: add domain power by adding Skills, not by rewriting the Agent
  • Event-driven: Cron jobs and event triggers are peers; the Agent decides actions from prompts
  • Tenant isolation: Storage, Memory, and Skill registration are layered by tenant / user / session
  • Model-agnostic: route to Claude, GPT, Gemini, DeepSeek, Qwen, and others via the routing layer

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