Initial commit: LangMem fact-based AI memory system with docs and MCP integration
- Complete fact-based memory API with mem0-inspired approach - Individual fact extraction and deduplication - ADD/UPDATE/DELETE memory actions - Precision search with 0.86+ similarity scores - MCP server for Claude Code integration - Neo4j graph relationships and PostgreSQL vector storage - Comprehensive documentation with architecture and API docs - Matrix communication integration - Production-ready Docker setup with Ollama and Supabase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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debug_neo4j_relationships.py
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88
debug_neo4j_relationships.py
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#!/usr/bin/env python3
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"""
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Debug Neo4j relationships to see what's happening
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"""
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import asyncio
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from neo4j import AsyncGraphDatabase
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# Configuration
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NEO4J_URL = "bolt://localhost:7687"
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NEO4J_USER = "neo4j"
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NEO4J_PASSWORD = "langmem_neo4j_password"
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async def debug_neo4j_relationships():
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"""Debug Neo4j relationships"""
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print("🔍 Debugging Neo4j Relationships")
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print("=" * 50)
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try:
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driver = AsyncGraphDatabase.driver(NEO4J_URL, auth=(NEO4J_USER, NEO4J_PASSWORD))
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async with driver.session() as session:
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# Check all relationship types
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print("1. All relationship types in database:")
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result = await session.run("CALL db.relationshipTypes()")
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async for record in result:
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print(f" - {record[0]}")
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# Check all relationships
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print("\n2. All relationships:")
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result = await session.run("MATCH ()-[r]->() RETURN type(r) as rel_type, count(r) as count")
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relationship_count = 0
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async for record in result:
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print(f" {record['rel_type']}: {record['count']}")
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relationship_count += record['count']
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if relationship_count == 0:
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print(" No relationships found!")
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# Check MENTIONS relationships specifically
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print("\n3. MENTIONS relationships:")
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result = await session.run("MATCH (m:Memory)-[r:MENTIONS]->(e:Entity) RETURN m.id, e.name, e.type")
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async for record in result:
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print(f" Memory {record['m.id'][:8]}... MENTIONS {record['e.name']} ({record['e.type']})")
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# Check all relationships with details
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print("\n4. All relationships with details:")
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result = await session.run("""
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MATCH (a)-[r]->(b)
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RETURN labels(a)[0] as source_label,
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coalesce(a.name, a.id) as source_name,
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type(r) as relationship,
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labels(b)[0] as target_label,
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coalesce(b.name, b.id) as target_name,
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r.confidence as confidence
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ORDER BY relationship
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""")
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async for record in result:
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print(f" {record['source_label']} '{record['source_name'][:20]}...' ")
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print(f" →[{record['relationship']}]→ ")
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print(f" {record['target_label']} '{record['target_name'][:20]}...' (conf: {record['confidence']})")
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print()
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# Check if there are any dynamic relationships
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print("\n5. Looking for dynamic relationships (non-MENTIONS):")
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result = await session.run("""
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MATCH (a)-[r]->(b)
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WHERE type(r) <> 'MENTIONS'
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RETURN type(r) as rel_type, count(r) as count
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""")
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found_dynamic = False
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async for record in result:
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print(f" {record['rel_type']}: {record['count']}")
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found_dynamic = True
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if not found_dynamic:
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print(" No dynamic relationships found!")
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print(" This suggests the AI relationship creation might have issues.")
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await driver.close()
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except Exception as e:
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print(f"❌ Error: {e}")
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if __name__ == "__main__":
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asyncio.run(debug_neo4j_relationships())
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