Implement Force Multiplier 15: Contextual Memory Injection

tasks.py

@@ -2126,3 +2126,28 @@ def cross_review_prs():
                 continue
 
     return {"reviews": len(results), "details": results}
+
+def inject_preflight_memory(agent_name, prompt):
+    """Force Multiplier 15: Contextual Memory Injection.
+    
+    Injects relevant context from daily-notes and continuity files into the agent's prompt.
+    """
+    now = datetime.now(timezone.utc)
+    today_str = now.strftime("%Y-%m-%d")
+    
+    # 1. Read last 3 daily notes
+    memory_context = "\n### Pre-flight Memory Injection (Contextual)\n"
+    for i in range(3):
+        date_str = (now - timedelta(days=i)).strftime("%Y-%m-%d")
+        note_path = TIMMY_HOME / "daily-notes" / f"{date_str}.md"
+        if note_path.exists():
+            memory_context += f"#### Daily Note: {date_str}\n"
+            memory_context += note_path.read_text()[:2000] + "...\n"
+            
+    # 2. Read active handoff
+    handoff_path = TIMMY_HOME / "continuity" / "active.md"
+    if handoff_path.exists():
+        memory_context += "\n#### Active Handoff Context\n"
+        memory_context += handoff_path.read_text() + "\n"
+        
+    return f"{memory_context}\n### Current Task Prompt\n{prompt}"