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Memory-Graph – Knowledge Graph Memory for Claude Code with SQLite/Neo4j/Memgraph

https://github.com/gregorydickson/memory-graph
1•gregorydickson•25m ago

Comments

gregorydickson•25m ago
I built this because Claude Code keeps forgetting what it learned.

Every session I'd re-explain the architecture, re-discover the same bugs, re-learn the same solutions. CLAUDE.md helps but it's manual and doesn't capture relationships between things.

memory-graph is an MCP server that stores entities, observations, and relationships in a knowledge graph. The key insight: coding agents need to remember what solved problems, not just find similar content.

Three backends: - SQLite (default) - single file, zero config, ~50MB with embeddings - Neo4j - when you need scale - Memgraph - when you need speed

30 MCP tools, 409 tests passing (90%+ coverage), 8 ADRs documenting decisions.

The graph relationships (SOLVES, CAUSES, RELATES_TO) let you query "what fixed the JWT bug last time?" instead of just "find auth-related code."

pip install memorygraphMCP

Then add to claude_desktop_config.json: {"mcpServers": {"memory-graph": {"command": "memory-graph"}}}

Curious what others are doing for persistent memory in coding agents. The official @modelcontextprotocol/server-memory is great but uses JSONL - I wanted queryable relationships.

https://github.com/gregorydickson/memory-graph

94% zero-shot in a shifting gridworld, no retraining

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Memory-Graph – Knowledge Graph Memory for Claude Code with SQLite/Neo4j/Memgraph

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