feat(agentscope): add memory system and automation job support

- Add consumer_registry and pipeline_registry for runtime orchestration
- Add Visibility schema for message filtering
- Add PipelineSpec for agent pipeline configuration
- Add automation job models and configuration
- Remove memory_prompt.py (consolidated into memory system)
- Update runtime components: context_loader, context_service, orchestrator, runner, tasks
- Update toolkit: tool_config, tool_middleware, custom tools (calendar, user_lookup)
- Add auth_helpers and calendar_domain utilities
- Add system_agents.yaml configuration

backend/src/models/agent_chat_message.py

@@ -5,6 +5,7 @@ import uuid
 from enum import Enum
 
 from sqlalchemy import (
+    BigInteger,
     JSON,
     Enum as SqlEnum,
     ForeignKey,
@@ -59,6 +60,11 @@ class AgentChatMessage(TimestampMixin, SoftDeleteMixin, Base):
     output_tokens: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
     cost: Mapped[Decimal] = mapped_column(Numeric(12, 6), nullable=False, default=0)
     latency_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    visibility_mask: Mapped[int] = mapped_column(
+        BigInteger,
+        nullable=False,
+        default=0,
+    )
     metadata_json: Mapped[dict[str, object] | None] = mapped_column(
         "metadata", JSON().with_variant(JSONB, "postgresql"), nullable=True
     )

backend/src/models/automation_jobs.py

@@ -4,8 +4,8 @@ import uuid
 from datetime import datetime
 from enum import Enum
 
-from sqlalchemy import DateTime, String, Text
-from sqlalchemy.dialects.postgresql import UUID
+from sqlalchemy import DateTime, JSON, String
+from sqlalchemy.dialects.postgresql import JSONB, UUID
 from sqlalchemy.orm import Mapped, mapped_column
 
 from core.db.base import Base, SoftDeleteMixin, TimestampMixin
@@ -36,9 +36,10 @@ class AutomationJob(TimestampMixin, SoftDeleteMixin, Base):
         String(255),
         nullable=False,
     )
-    prompt: Mapped[str] = mapped_column(
-        Text,
+    config: Mapped[dict[str, object]] = mapped_column(
+        JSON().with_variant(JSONB, "postgresql"),
         nullable=False,
+        default=dict,
     )
     schedule_type: Mapped[ScheduleType] = mapped_column(
         String(20),