DeepSeek Harness plugin

dsh-memory-amengcla

A persistent, model-editable memory/notes store for DeepSeek Harness. Adds memory_set / memory_get / memory_delete / memory_search tools backed by the built-in storage domain (ctx.storageDomain) so

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Source facts

Repository
Amengclass/dsh-memory
Latest update
Aug 14, 2026
Category
Plugin Markets & Managers
GitHub stars
0
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/Amengclass/dsh-memory
Plugin: dsh-memory-amengcla
Author: Amengclass

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-memory

English | 中文

A persistent, model-editable memory/notes store for DeepSeek Harness. It gives the agent a first-class way to durably write, fetch, and search "facts it wants to remember" that survive across sessions — something conversation-history search, todo_write, settings, and static skill docs do not cover.

It is a community dsh-plugin: an installable Cordis bundle shipping as plain ESM JavaScript (index.js + index.d.ts), so it installs from a git host or npm with no build step.

Records live in one storage domain (dsh_memory) routed through the built-in ctx.storageDomain seam — not hand-rolled files — so they persist under the deployment's configured backend (json/sqlite) and emit domain/changed for live UIs.

Why it is not redundant

Existing capabilityDifference from dsh-memory
session_search / session_event_*Only read past conversation; cannot store durable facts
todo_writeTask-status tracking, not knowledge
settings / credentialsOperator config, not agent-mutable knowledge
skillsStatic docs; the model cannot write to them
goal / scheduleObjectives / reminders, not a knowledge store
MCP memory serverRequires an external server/account; this is a lightweight built-in

Tools

ToolPurpose
memory_setDurably upsert a fact/note under a stable key (with optional tags).
memory_getRead one entry by key, or list all when the key is omitted.
memory_deleteDelete an entry by key (idempotent).
memory_searchCase-insensitive substring search over key/value/tags, filterable by required tags.

Example

user:  From now on, don't touch public/ in this project.
model: memory_set key="project/convention" value="Do not modify public/" tags=["project","rule"]
      → [memory] saved "project/convention" (2 tags)

(next session)
user:  Continue on that project.
model: memory_get key="project/convention"  → "Do not modify public/" → works accordingly

Install

Install into a Harness profile. From a checkout:

dsh plugin --profile web add ./dsh-memory

or from this repository (no build step required — the package ships JavaScript):

dsh plugin --profile web add github:Amengclass/dsh-memory

> The storage backend is provided by your deployment (web profiles mount @deepseek-ai/dsh-storage-json with backend: json by default). This plugin only declares a storage domain, so no backend changes are needed.

Configuration

Schemastery-validated config, overridable from your profile patch:

KeyDefaultMeaning
domainNamedsh_memoryName of the storage domain (must match /^[a-z][a-z0-9_]*$/).
maxItems1000Hard cap on stored entries.
maxKeyLength120Max key length; longer keys are rejected.
maxValueLength10000Max stored value length; longer values are rejected.
- insert:
    - id: dsh-memory
      config:
        maxItems: 500

Dependencies & license

  • Runtime peer dependencies (provided by the harness's own node_modules): @deepseek-ai/dsh-storage-domain, @deepseek-ai/dsh-tools, @deepseek-ai/schemastery, zod.
  • No runtime build toolchain; no Node addons.
  • MIT licensed — see [LICENSE](LICENSE).

Contributing / topic

Published under the dsh-plugin GitHub topic. PRs and issues welcome.