graph-memory

About graph-memory

graph-memory Knowledge Graph Context Engine for OpenClaw By adoresever · MIT License Installation · How it works · Configuration · 中文文档 What it does When conversations grow long, agents lose track of what happened. graph-memory solves three problems at once: Context explosion — 174 messages eat 95K tokens. graph-memory compresses to 24K by replacing raw history with structured knowledge graph nodes Cross-session amnesia — Yesterday's bugs, solved problems, all gone in a new session.

Quick Facts

Compatible Skills

These tools work well together with graph-memory for enhanced workflows:

• Ori-Mnemos — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
• openclaw-cross-market-arbitrage-agent — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
• roadmap-skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
• MegaMemory — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
• MemoryMesh — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions