Implementing Traceable Knowledge Graph Memory for DeepSeek Harness with graph-memory
Graph-memory is a DSH memory-type plugin maintained by adoresever, which extracts dialogues into TASK/SKILL/EVENT knowledge graphs, supporting cross-session semantic recall and local SQLite storage. This article introduces its core capabilities, directory page installation commands, source tarball installation steps, gm_* tools and vector retrieval configuration, as well as the plugin permissions, beta version, and the application boundaries of the 75% context compression benchmark.
Read MoreUsing Graph-Memory to Equip DeepSeek Harness with Traceable Knowledge Graph Memory
Graph-memory is an MIT-licensed open-source memory plugin maintained by adoresever. It extracts conversations into TASK/SKILL/EVENT triples and uses SQLite knowledge graphs for cross-session recall. The community installation command is `dsh plugin add github:adoresever/graph-memory`. The current version 1.6.0-beta.1 has not been published on npm yet, and the DSH acceptance path in the README uses a local tarball. About 75% of the compression comes from the limited workflow comparison, which is not a universal guarantee. The Pro visualization feature has not been delivered yet.
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