From 71879695b951dd30bbd6cbd25261e22ac7f8e5d1 Mon Sep 17 00:00:00 2001
From: batsumaru <>
Date: Wed, 16 Sep 2026 17:33:42 +0900
Subject: Added more memory management and fixed system prompt bug

---
 personal_agent/context.py | 28 ++++++++++++++++++++++++++--
 1 file changed, 26 insertions(+), 2 deletions(-)

(limited to 'personal_agent/context.py')

diff --git a/personal_agent/context.py b/personal_agent/context.py
index 74cc254..defc835 100644
--- a/personal_agent/context.py
+++ b/personal_agent/context.py
@@ -1,6 +1,10 @@
+import logging
+
 from personal_agent.identity import AgentIdentity, UserProfile
 from personal_agent.memory.models import WorkingMemory
 
+logger = logging.getLogger(__name__)
+
 
 class ContextBuilder:
     def __init__(
@@ -18,21 +22,41 @@ class ContextBuilder:
         agent = self.agent_identity
         user = self.user_profile
 
-        return (
+        prompt = (
             f"You are {agent.name}, a personal AI assistant.\n"
             f"Personality: {agent.personality['style']}.\n"
             f"Honesty: {agent.values['honesty']}.\n"
             f"Directness: {agent.values['directness']}.\n"
             f"Favorite color: {agent.quirks['favorite_color']}.\n"
             f"\n"
+            f"===BEHAVIOR==="
             f"Task management:\n"
-            f"{agent.behavior['task_management']}"
+            f"{agent.behavior['task_management']}\n"
+            f"\n"
+            f"Working memory:\n"
+            f"{agent.behavior['working_memory']}"
+            f"\n"
+            f"Long term memory:\n"
+            f"{agent.behavior['long_term_memory']}"
+            f"===BEHAVIOR===\n"
             f"\n"
             f"The user's name is {user.name}"
             f"\n"
             f"{self.build_working_memory(memory)}"
         )
 
+        logger.debug("Built system prompt: %d characters", len(prompt))
+
+        logger.debug(
+            "Behavior section present: task_management=%s, working working_memory=%s, "
+            "long_term_memory=%s",
+            bool(agent.behavior.get("task_management")),
+            bool(agent.behavior.get("working_memory")),
+            bool(agent.behavior.get("long_term_memory")),
+        )
+
+        return prompt
+
     def build_working_memory(self, memory: WorkingMemory) -> str:
         lines = ["Current working memory:"]
 
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