adoresever/graph-memory

README excerpt

Graph Memory Traceable, searchable, cross-session memory for AI agents. One memory core, native to DeepSeek Harness, with the OpenClaw plugin entry retained. 中文 · Advantages · Architecture · DSH Install · Pro Plugin · Technical Report (Chinese) Compaction answers “how much of this conversation still fits?” Graph Memory answers “which past knowledge is worth recalling now?” Reusable conversation knowledge becomes typed nodes: - TASK : goals, execution, and outcomes; - SKILL : validated reusable methods; - EVENT : errors, fixes, decisions, changes, and facts. Typed edges such as USED SKILL , SOLVED BY , REQUIRES , PATCHES , and CONFLICTS WITH preserve relationships. A new question retrieves a relevant local subgraph instead of replaying the complete history. Core advantages Native host integration - Loaded by the DSH/Cordis plugin lifecycle, not simulated through an MCP side channel. - Integrates Session, Tool, Agent Loop, Prompt Assembly, LLM, and Credentials seams. - Disposes database, cache, and event listeners with its plugin fiber. - Does not fork or modify DeepSeek Harness core. Durable cross-session memory - Knowledge from Session A can be recalled automatically in Session B. …

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