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dsh-memories

Memory Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install jisi71/dsh-memories

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install jisi71/dsh-memories in your DeepSeek Harness to install the plugin; the full source repository is at https://github.com/jisi71/dsh-memories . Restart DSH after installation to activate it.

About this plugin

Starting every new session by re-explaining project conventions, user preferences, and where you left off is repetitive, error-prone, and breaks flow. dsh-memories borrows the memory-pipeline idea from Codex and maintains two living Markdown ledgers per workspace: MEMORY.md captures stable facts (preferences, project norms, environment details, lessons learned) while PROGRESS.md tracks completed, in-progress, and upcoming work. Both are auto-injected into the system prompt of every new session, so context is ready the moment a conversation starts.

The plugin works silently in the background: throttled to once every 30 minutes, it reads session texts from the last 14 days in the same workspace, lets an LLM distill them into four fact categories and three progress states, then consolidates into clean, deduplicated, sectioned ledgers with automatic .bak backups. Secrets, code dumps, and one-off task details are strictly excluded; entries unconfirmed for 30 days decay unless marked as pinned. On the agent side, remember and update_progress tools let the model persist knowledge mid-conversation; on the human side, /remember, /progress, and /memories slash commands give direct visibility and control.

Designed for developers running long-lived projects on DeepSeek Harness-multi-person collaboration, multi-day iterations, or anyone who is tired of copy-pasting context into every new chat. All data lives in plain Markdown, free to open, edit, and diff.

Use Cases

  • Multi-person projects where new sessions automatically carry forward prior discussions and progress
  • Multi-day iterative development without re-explaining conventions, environment details, or past pitfalls every time
  • Agent proactively records decisions and milestones so the next session resumes seamlessly with full context

Best For

  • Developers running long-lived projects on DeepSeek Harness
  • Solo developers tired of copy-pasting context and re-briefing every new conversation
  • Teams that prefer auditable, editable plain-text memory over opaque black-box caching