Articles tagged "DSH Memory Management"

dsh-memory: Memory with citations based on DSH session logs

2026-09-02 DeepSeek Harness plugin DeepSeek plugin DSH Memory Management dsh-memory Session log reference Agent Memory

`dsh-memory` is a plugin based on DeepSeek Harness (DSH) designed to address memory distortion and tracing difficulties in multi-turn agent conversations. Leveraging DSH's lossless conversation logs, it converts persistent facts into human-auditable Markdown memory files through offline distillation after sessions conclude, storing them in the `~/.dsh/memory` directory. The core advantage lies in every memory being accompanied by a citation, allowing for precise tracing back to original conversation log events; it supports reading content via `memory_read` and viewing original excerpts via `memory_expand`. The plugin provides a compact Recall Index to optimize token usage and supports `user`, `project`, `f...`

dsh-memoryhub: Integrate MemoryHub project memory into DeepSeek Harness

2026-09-01 DeepSeek Harness plugin DeepSeek plugin DSH Memory Management MemoryHub Project Memory dsh-memoryhub

dsh-memoryhub is an MIT-licensed plugin for DeepSeek Harness (dsh), designed to address the issue of project memory usage across sessions. It integrates the `.memoryhub/` checkpoint memory maintained by MemoryHub into dsh sessions, supporting bidirectional data synchronization: automatically loading checkpoint memory upon session startup, while also allowing the current session to be saved back to MemoryHub via the `mh_save` command. The plugin registers six core tools (such as `mh_load`, `mh_save`, `mh_status`, etc.) and the `mh` workflow skill, providing a Memory tab in the Web UI for visualizing checkpoints.