feat: add task queue with human-in-the-loop approval + work orders + UI bug fixes

Task Queue system:
- New /tasks page with three-column layout (Pending/Active/Completed)
- Full CRUD API at /api/tasks with approve/veto/modify/pause/cancel/retry
- SQLite persistence in task_queue table
- WebSocket live updates via ws_manager
- Create task modal with agent assignment and priority
- Auto-approve rules for low-risk tasks
- HTMX polling for real-time column updates
- HOME TASK buttons now link to task queue with agent pre-selected
- MARKET HIRE buttons link to task queue with agent pre-selected

Work Order system:
- External submission API for agents/users (POST /work-orders/submit)
- Risk scoring and configurable auto-execution thresholds
- Dashboard at /work-orders/queue with approve/reject/execute flow
- Integration with swarm task system for execution

UI & Dashboard bug fixes:
- EVENTS: add startup event so page is never empty
- LEDGER: fix empty filter params in URL
- MISSION CONTROL: LLM backend and model now read from /health
- MISSION CONTROL: agent count fallback to /swarm/agents
- SWARM: HTMX fallback loads initial data if WebSocket is slow
- MEMORY: add edit/delete buttons for personal facts
- UPGRADES: add empty state guidance with links
- BRIEFING: add regenerate button and POST /briefing/regenerate endpoint

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/memory/vector_store.py

@@ -377,6 +377,35 @@ def recall_personal_facts(agent_id: Optional[str] = None) -> list[str]:
     return [r["content"] for r in rows]
 
 
+def recall_personal_facts_with_ids(agent_id: Optional[str] = None) -> list[dict]:
+    """Recall personal facts with their IDs for edit/delete operations."""
+    conn = _get_conn()
+    if agent_id:
+        rows = conn.execute(
+            "SELECT id, content FROM memory_entries WHERE context_type = 'fact' AND agent_id = ? ORDER BY timestamp DESC LIMIT 100",
+            (agent_id,),
+        ).fetchall()
+    else:
+        rows = conn.execute(
+            "SELECT id, content FROM memory_entries WHERE context_type = 'fact' ORDER BY timestamp DESC LIMIT 100",
+        ).fetchall()
+    conn.close()
+    return [{"id": r["id"], "content": r["content"]} for r in rows]
+
+
+def update_personal_fact(memory_id: str, new_content: str) -> bool:
+    """Update a personal fact's content."""
+    conn = _get_conn()
+    cursor = conn.execute(
+        "UPDATE memory_entries SET content = ? WHERE id = ? AND context_type = 'fact'",
+        (new_content, memory_id),
+    )
+    conn.commit()
+    updated = cursor.rowcount > 0
+    conn.close()
+    return updated
+
+
 def store_personal_fact(fact: str, agent_id: Optional[str] = None) -> MemoryEntry:
     """Store a personal fact about the user or system.