{"repo":"adoresever/graph-memory","free":true,"listed":false,"github":"https://github.com/adoresever/graph-memory","clone":"git clone https://github.com/adoresever/graph-memory.git","description":"Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse","language":"TypeScript","stars":548,"topics":["knowledge-graph","memory","openclaw-plugin","claude-code","codex","openclaw","opencode","deepseek","deepseek-harness","dsh"],"license":"MIT","category":"ai-agents","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. - Memory survives DSH restarts. - Stable event IDs make resume and HMR ingestion idempotent. - Source sessions and graph edges explain why a memory was recalled. Smaller, cleaner context - Semantic vector retrieval with FTS5 lexical fallback. - Community detection, PageRank, personalized PageRank, a","default_branch":null,"files":null,"tree":[],"storefront":"/r/adoresever","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/adoresever/graph-memory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}