Merge branch 'main' into fix/update-mcp-tools-documentation

README.md

@@ -98,7 +98,7 @@ Let’s try Cognee in just a few lines of code. For detailed setup and configura
 
 ### Prerequisites
 
-- Python 3.10 to 3.12
+- Python 3.10 to 3.13
 
 ### Step 1: Install Cognee
 
@@ -180,17 +180,17 @@ cognee-cli -ui
 
 See Cognee in action:
 
-### Cognee Cloud Beta Demo
+### Persistent Agent Memory
 
-[Watch Demo](https://github.com/user-attachments/assets/fa520cd2-2913-4246-a444-902ea5242cb0)
+[Cognee Memory for LangGraph Agents](https://github.com/user-attachments/assets/e113b628-7212-4a2b-b288-0be39a93a1c3)
 
-### Simple GraphRAG Demo
+### Simple GraphRAG
 
-[Watch Demo](https://github.com/user-attachments/assets/d80b0776-4eb9-4b8e-aa22-3691e2d44b8f)
+[Watch Demo](https://github.com/user-attachments/assets/f2186b2e-305a-42b0-9c2d-9f4473f15df8)
 
 ### Cognee with Ollama
 
-[Watch Demo](https://github.com/user-attachments/assets/8621d3e8-ecb8-4860-afb2-5594f2ee17db)
+[Watch Demo](https://github.com/user-attachments/assets/39672858-f774-4136-b957-1e2de67b8981)
 
 
 ## Community & Support

cognee/modules/retrieval/cypher_search_retriever.py

@@ -1,4 +1,6 @@
 from typing import Any, Optional
+from fastapi.encoders import jsonable_encoder
+
 from cognee.infrastructure.databases.graph import get_graph_engine
 from cognee.modules.retrieval.base_retriever import BaseRetriever
 from cognee.modules.retrieval.utils.completion import generate_completion
@@ -50,7 +52,7 @@ class CypherSearchRetriever(BaseRetriever):
                 logger.warning("Search attempt on an empty knowledge graph")
                 return []
 
-            result = await graph_engine.query(query)
+            result = jsonable_encoder(await graph_engine.query(query))
         except Exception as e:
             logger.error("Failed to execture cypher search retrieval: %s", str(e))
             raise CypherSearchError() from e

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "cognee"
 
-version = "0.3.9"
+version = "0.4.0"
 description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning."
 authors = [
     { name = "Vasilije Markovic" },