graph-memory

项目详情摘要

Graph Memory Bound the context. Keep the memory. A native DeepSeek Harness memory plugin that keeps recent conversation turns, archives older history, and recalls exact source-backed knowledge when it matters. 中文 · dsh.so · 20-turn benchmark · Upgrade guide The problem it solves Graph Memory owns the **model-visible historical surface** without deleting DSH's event log. By default it keeps the newest five completed user turns, removes completed reasoning/tool traces from future requests, and recalls relevant older or cross-session source Q/A automatically. The 1.6 turn-memory navigation upgrade Before | Now | Extract TASK / SKILL / EVENT directly from messages | Create one self-contained turn summary, then derive SPO from that same sentence | Graph nodes could become the factual payload | Summary, SPO, and communities only navigate; original question and final answer remain the evidence | Old memories from the active session could be filtered wholesale | Exclude only sources still visible in the fresh window; archived same-session and cross-session recall share one path | Community expansion could pull a whole neighborhood | Local LPA narrows candidates, query-time PPR ranks them, and only matched Q/A is recovered | DSH retained complete tool and reasoning traces | Completed turns retain question + final answer; older prefixes collapse to one fixed marker | Writing one completed turn costs exactly **one auxiliary LLM call**. Community detection and PPR are local. There are no hard-coded node/edge counts, semantic direction gates, or JSON repair that turns invalid output into accepted data. Read the complete design, source map, and porting sequence → Measured first Real 20-turn GLM-5.2 run | Historical native DSH baseline | Latest Graph Memory | Change | :|---:|---:| T20