dsh-plugin-memory
Run the following command in DeepSeek Harness:
dsh plugin install justhalfbit/dsh-plugin-memory
Paste the following prompt into your AI chat to install this plugin:
Install this plugin in DeepSeek Harness. Source: https://github.com/justhalfbit/dsh-plugin-memory
About this plugin
In multi-session DSH workflows the real pain is not single-turn quality but context loss: every new session starts cold and you have to re-explain the project background, the decisions already made, and the lessons learned. dsh-plugin-memory takes a straightforward approach: while the model is working it records facts, decisions, lessons, and user preferences into plain Markdown files, and those files are automatically injected at the start of the next session for the same project so the model picks up exactly where it left off. Memory is split into two layers: main-file entries are injected in full within a character budget, while topic files are summarized to a one-line index with their full text loaded on demand, keeping context lean without losing information. Every write is a visible tool call; three proactivity levels tweak only the prompt wording, never the mechanics. Deletion requires concrete counter-evidence from the current turn, guarding against accidental removal of entries written by another session. An optional, off-by-default background distillation pass silently extracts memories after each turn, ideal for unattended long tasks.
Storage is plain Markdown: human-readable, hand-editable, git-friendly. Indexes are generated dynamically at injection time so they never drift out of sync. There is no external vector store or database to maintain. Best for developers who reopen sessions on the same project repeatedly and want the model to remember rather than re-explain: install the plugin, pick a proactivity level, and let the model do the rest.
Use Cases
- Reopening sessions on the same project with prior decisions, facts, and user preferences auto-inherited
- Accumulating project knowledge silently via background distillation during unattended long tasks with zero tool cards
- Managing project memory as plain Markdown files that can be diffed, hand-edited, and rolled back in git without an external vector store
Best For
- Developers iterating on the same project across multiple DSH sessions in browser or TUI
- Engineers who prefer plain-text memory files over introducing an extra database or middleware
- Teams running long unattended tasks that need traceable knowledge to accumulate automatically
Related Plugins
Memory layer for coding agents that indexes local session history and auto-recalls relevant context before edits, commands, and failures, with no manual search needed.
Traceable, searchable cross-session memory for AI agents that turns conversation knowledge into a typed knowledge graph and recalls relevant subgraphs instead of replaying full history, natively integrated with DeepSeek Harness.
Gives DSH AI cross-session long-term memory, to-do and skill management, plus multi-session orchestration, external AI delegation, and an infinite canvas that grows with you.
dsh-mnemon is a three-tier, pluggable, Agent-driven memory system for DeepSeek Harness, combining Runtime memory, Project Documents, and replaceable Memory Spaces with nine long-term providers.