Durable Workflows
Temporal.io workflows that survive restarts and failures, with automatic retries and state persistence.
ContextWorker is the “Hands” of the ContextUnity ecosystem. It provides durable workflow infrastructure, scheduled jobs, and sub-agent execution — all built on Temporal.io.
Durable Workflows
Temporal.io workflows that survive restarts and failures, with automatic retries and state persistence.
Scheduled Jobs
Cron-based recurring tasks — harvesting, enrichment, catalog sync, data retention.
gRPC Service
Trigger and monitor workflows from other services via ContextUnit protocol.
Sub-Agent System
Isolated execution environments for agent-generated code with Brain recording.
src/contextunity/worker/├── __main__.py # Entrypoint├── cli.py # CLI commands (Typer)├── config.py # WorkerConfig (Pydantic settings)├── service.py # gRPC WorkerService├── server.py # gRPC server setup├── schedules.py # Temporal schedule management├── schemas.py # Request/response schemas├── interceptors.py # gRPC interceptors│├── core/│ ├── registry.py # WorkerRegistry, ModuleConfig, plugin discovery│ ├── worker.py # Temporal client setup and worker creation│ ├── worker_sdk.py # Worker SDK helpers│ └── brain_token.py # Brain token utilities│├── engines/ # Pluggable execution backends│ ├── base.py # BaseEngine protocol│ ├── temporal_engine.py # Temporal workflow engine│ └── huey_engine.py # Huey task queue engine│└── jobs/ ├── orchestrator.py # Job orchestration ├── retention.py # Data retention policies └── scrum_master.py # Automated task managementWorker contains NO business logic. It provides infrastructure only.
Business logic lives in domain packages:
Modules register themselves via the WorkerRegistry and are discovered at startup.