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claude-memory/graph/solutions/converted-memorygraph-mcp-to-claude-code-skill-8e2d19.md
Cal Corum b140d4d82a migrate: 313 memories from MemoryGraph 
- 313 new markdown files created
- 30 relationships embedded
- 313 entries indexed
- State initialized with usage data
2026-02-13 11:11:48 -06:00

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id type title tags importance confidence created updated relations
8e2d1904-24e0-41df-95f2-2edc4407b9f3 solution Converted MemoryGraph MCP to Claude Code Skill
pai
claude-code
memorygraph
skills
architecture
migration
0.9 0.8 2025-12-07T06:50:12.011310+00:00 2025-12-07T06:50:12.011310+00:00
target type direction strength context
ebc3e5af-b3d1-486b-9751-8ece841aa93f RELATED_TO outgoing 0.5 Both part of PAI skills infrastructure improvements in same session

Converted MemoryGraph from MCP server to Claude Code skill to reduce token cost. MCP tools were always in context (~45 tools eating tokens every turn). Skill loads on-demand only when triggered.

Implementation:

  • Created ~/.claude/skills/memorygraph/ with client.py (620 lines), SKILL.md, SCHEMA.md, feature.json
  • Direct SQLite access to ~/.memorygraph/memory.db bypassing MCP protocol
  • JSON-based search instead of FTS (existing FTS index wasn't populated)
  • CLI interface: store, recall, get, relate, search, update, delete, related, stats, recent

All 11 core operations implemented:

  • store_memory, recall_memories, get_memory, create_relationship (high priority)
  • search_memories, update_memory, delete_memory, get_related_memories (medium)
  • get_memory_statistics, get_recent_activity (low)

Updated ~/.claude/CLAUDE.md Memory Protocol to use CLI commands instead of MCP tools. Documentation saved to NoteDiscovery at reference/skills/memorygraph.