deepseekplugins

DeepSeek Harness plugin

dsh-project-memory

Evidence-backed, human-approved project memory for DeepSeek Harness

Memory
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Source facts

Repository
luoyuejun9/dsh-project-memory
Latest update
Aug 16, 2026
Category
Memory
GitHub stars
1
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/luoyuejun9/dsh-project-memory
Plugin: dsh-project-memory
Author: luoyuejun9

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer4 files
README.mdSource · read only
README language

dsh-project-memory

Evidence-backed, human-approved project memory for DeepSeek Harness.

dsh-project-memory turns durable decisions, constraints, conventions, lessons, and facts into versioned project records. The model may propose a candidate, but only the human-facing /memory approve command can promote it into approved memory.

> DeepSeek Harness is currently a developer preview. This plugin targets 0.1.0-rc.6 and may require updates as Harness APIs evolve.

中文说明

Why this is different

  • Human approval is a hard boundary: model tools cannot approve or archive memory.
  • Evidence is project-relative and hash-verified; source snippets are not copied into memory.
  • Conflicting active memories require supersedes or an explicit --keep-both decision.
  • Approved entries are Git-friendly JSON; candidate files are kept in a separate review queue.
  • Search is deterministic and local. No embeddings, cloud database, or background service.

Install

dsh plugin --profile web add dsh-project-memory

Restart the selected Harness profile after installation.

Commands

/memory capture [note]
/memory candidates
/memory approve <candidate-id> [--keep-both]
/memory reject <candidate-id> [reason]
/memory search <query>
/memory show <memory-id>
/memory validate [memory-id]
/memory archive <memory-id>
/memory timeline

The plugin also exposes read-only model tools for search/read/validation and one write-limited proposal tool.

Storage

.dsh/project.json
.dsh/memory/index.json
.dsh/memory/entries/memory_*.json
.dsh/memory/candidates/candidate_*.json

Commit .dsh/project.json, .dsh/memory/index.json, and .dsh/memory/entries/ if the team wants shared memory. Candidate files may remain local until reviewed.

Evidence lifecycle

Each evidence reference records a relative path, exact line range, optional symbol, and SHA-256 hash. /memory validate reports verified, stale, or missing after source changes.

Development

npm install
npm run check
npm pack --dry-run

MIT © 2026

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