dsh-thread: Session Memory Plugin for DeepSeek Harness
The DeepSeek Harness (DSH) plugin `dsh-thread` provides a deep conversational memory solution, using an embedded SQLite database to store event streams and ensuring that coding agents maintain contextual coherence over long-duration interactions. It delivers core capabilities such as lossless capture, structured state injection, deterministic BM25-based retrieval, behavior-contract skills, and explicit decision/preference logging. The plugin supports session isolation, resource cleanup, and wrap-up deposition, helping agents overcome memory fragmentation and achieve accurate, coherent long-running operation.
Read Moredsh-okf-memory: Session Memory and OKF Knowledge Consolidation Plugin
`dsh-okf-memory` is a long-term memory plugin within the DeepSeek Harness (DSH) ecosystem, designed to address the difficulty of reusing context after an agent session ends. Based on the OKF v0.1 specification, it automatically distills high-value content from conversations into standardized Markdown documents, enabling automatic recall and retrieval across sessions. Core features include a neural self-learning mechanism that dynamically adjusts memory weights based on user feedback, a technology-selection memory function that records candidate tables and decisions across dimensions such as frontend and backend, and memory graph visualization (Web-only), which allows users to view nodes, connections, and weight information. The default memory repository is located at `~/.dsh/memory/`. After installation, the plugin injects a “memory discipline” system prompt, requiring no build scripts and ready to use out of the box.
Read MoreIntroducing the DeepSeek Harness Plugin: dsh-engram-session
`dsh-engram-session` is a standalone plugin for DeepSeek Harness (DSH), designed to address the persistence and isolation of agent session memory. It instantiates an independent Engram MCP subprocess for each session and uses deterministic root directory resolution and scope isolation to ensure stable memory storage without tool conflicts. The plugin features a zero-side-effect design, easy removal, and reuse across configurations. Note that it is unofficial, lacks a subprocess reconnection mechanism, and supports only text result projection.
Read MoreMindspace DSH Session Memory Plugin: Adding Editable Multi-user Session Memory for DeepSeek Harness
`mindspace-dsh-session-memory` is a community plugin for DeepSeek Harness (DSH) designed to provide editable, session-isolated multi-user memory capabilities. To address the issue of context confusion in long sessions, it categorizes memory into three layers: an explicit persona layer (to replace default presets) and a separate contextual section for character information and general memory. Compatible with DSH version 0.1.1 and licensed under the MIT License, its core features include reading and writing memory via the `get_session_memory` and `update_session_memory` interfaces, Chinese rendering of model fields, lossless migration of V1-V3 data to the V4 sidecar format, and default settings.
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