Create agent_loop.py

core/agent_loop.py

@@ -0,0 +1,21 @@
+from agents.planner import generate_plan
+from agents.executor import execute_step
+from agents.critic import reflect_and_improve
+from agents.memory import MemoryAgent
+
+memory = MemoryAgent()
+
+def run_autonomous_loop(user_goal):
+    memory.save("Goal", user_goal)
+    
+    plan = generate_plan(user_goal, memory)
+    memory.save("Plan", plan)
+
+    final_output = ""
+    for step in plan:
+        result = execute_step(step, memory)
+        memory.save(f"Result of {step}", result)
+        improved_step = reflect_and_improve(step, result, memory)
+        final_output += f"Step: {step}\nResult: {result}\nImproved Step: {improved_step}\n\n"
+    
+    return final_output