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.gitignore

@@ -177,3 +177,5 @@ cython_debug/
 output/*
 investigators/output/*
 search_results_2025*
+.DS_Store
+memory/*

app.py

@@ -58,15 +58,18 @@ with gr.Blocks() as view:
         outputs=output
     )
     
-
-    
     clear_btn.click(
         fn=clear_inputs,
         inputs=[],
         outputs=[name_input, affiliation_input]
     )
     gr.Examples(
-        examples=[["Raz Nissim", "Ben Gurion University, General Motors"]],
+        examples=[["Raz Nissim", "Ben Gurion University, General Motors"],
+                  ["Mohammed Mosharref Hossain", "Albany"], 
+                  ["Giovanni Cazzetta", "Montreal"],
+                  ["Willy Bokonga", "Congo"],
+                  ["Avraham Hirshzon", "Israel, Politician"],
+            ],
         inputs=[name_input, affiliation_input]
     )
 

investigators/src/investigators/config/agents.yaml

@@ -9,6 +9,7 @@ researcher:
     finding and connecting information about people and businesses. You know how to
     follow information trails and identify valuable data sources.
     You have the ability to search the web using search tools.
+    You have the ability to use your memory to gather information.
   llm: openai/gpt-4o
 
 fincrime_analyst:

investigators/src/investigators/crew.py

@@ -5,6 +5,11 @@ from crewai import TaskOutput
 from crewai_tools import SerperDevTool
 from crewai_tools import ScrapeWebsiteTool
 from crewai_tools import BraveSearchTool
+
+from crewai.memory import LongTermMemory, EntityMemory
+from crewai.memory.storage.rag_storage import RAGStorage
+from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
+
 NO_INFORMATION_FOUND="no information found"
 
 def validate_researcher_content(result: TaskOutput) -> Tuple[bool, Any]:
@@ -93,4 +98,24 @@ class Investigators():
             tasks=self.tasks, # Automatically created by the @task decorator
             process=Process.sequential,
             verbose=True,
+            memory=True,
+            # Long-term memory for persistent storage across sessions
+            long_term_memory = LongTermMemory(
+                storage=LTMSQLiteStorage(
+                    db_path="./memory/long_term_memory_storage.db"
+                )
+            ),
+           # Entity memory for tracking key information about entities
+            entity_memory = EntityMemory(
+                storage=RAGStorage(
+                    embedder_config={
+                        "provider": "openai",
+                        "config": {
+                            "model": 'text-embedding-3-small'
+                        }
+                    },
+                    type="short_term",
+                    path="./memory/"
+                )
+            ),
         )