Repository guide · 1 diagram

View source on GitHub ↗
Original documentation, preserved from the repository. Historical projections and scenario ambitions are not evidence of live performance. See the current readiness record for deployment requirements.

Mission Streams Catalogue

The mission streams organize planetary-scale objectives into reusable templates. Each stream aligns orchestrator policies, contract operations, and operational safeguards using components already housed in AGI Jobs v0 (v2).

Stream Topology

Architecture diagram · source preserved below
View original Mermaid source
flowchart TD
    classDef stream fill:#111827,stroke:#22c55e,color:#dcfce7
    classDef node fill:#0f172a,stroke:#38bdf8,color:#38bdf8

    subgraph ClimateHorizon[Climate Horizon]
        Carbon[Carbon Drawdown Missions]:::node
        Energy[Renewable Grid Balancing]:::node
    end

    subgraph CivicSymphony[Civic Symphony]
        Health[Transnational Health Logistics]:::node
        Relief[Disaster Relief Mesh]:::node
    end

    subgraph FrontierAtlas[Frontier Atlas]
        Research[Open Research Grants]:::node
        Infrastructure[Autonomous Infrastructure Builds]:::node
    end

    ClimateHorizon:::stream --> CivicSymphony:::stream --> FrontierAtlas:::stream

Each mission stream is catalogued below with its configuration primitives.

Climate Horizon

Civic Symphony

Frontier Atlas

Scenario Bundle Format

Mission simulations consume JSON bundles stored under data/zenith/. Each bundle follows the schema already used in orchestrator/simulator.py:

{
  "name": "global-rollout",
  "epochs": 12,
  "streams": [
    {
      "id": "climate-carbon",
      "policy": "CarbonDrawdownPolicy",
      "budget": "2500000",
      "thermostat": {
        "temperature": "0.82",
        "entropyGuard": "balanced"
      },
        "telemetryFeeds": [
          "monitoring/onchain/parameter-change-sentinel.json",
          "agent-gateway/telemetry.ts"
        ]
    }
  ]
}

This schema is already supported by the simulator; adding Zenith-specific scenarios simply extends the dataset without requiring code changes.

Governance Patterns

Verification Checklist

Verification Step Tooling Frequency
Scenario validation python - <<'PY'\nimport json\nfrom pathlib import Path\nfrom orchestrator.models import OrchestrationPlan, Step, Budget, Policies\nfrom orchestrator.simulator import simulate_plan\nfor path in Path('data/zenith').glob('*.json'):\n scenario = json.loads(path.read_text())\n for stream in scenario['streams']:\n plan = OrchestrationPlan(\n plan_id=stream['id'],\n steps=[\n Step(id='plan', name=f"{stream['id']} planning", kind='plan'),\n Step(id='post', name='Post job', kind='chain', tool='job.post'),\n ],\n budget=Budget(max=stream['budget']),\n policies=Policies(),\n metadata={'thermostat': stream['thermostat'], 'telemetryFeeds': stream['telemetryFeeds']},\n )\n summary = simulate_plan(plan)\n print(path.name, stream['id'], summary.est_budget, summary.est_fees)\nPY On commit
Policy linting npm run lint:ci On merge request
Oracle sanity checks npm run monitoring:validate Daily
Stake drift analysis npm run owner:dashboard Weekly

By curating mission streams in this way, Zenith Sapience delivers a catalog of immediately executable societal-scale programs.

← Back to Zenith Sapience · Vision