DeepSeek Harness Plugins
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dsh-plugin-memory

Persistent five-layer memory plugin for DeepSeek Harness with relevance-based context injection, agent tools, and optional LLM extraction.

UI & ProductivityDeveloper ToolsSecurity & PolicySkills & Workflows
3GitHub Stars0ForksUpdated2026-08-21

Install

$ dsh plugin --profile web add github:NattoCB/dsh-plugin-memory

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
This installable DSH plugin persists global and project memory in profile, index, topic, and daily-log files. It injects memory into agent context, provides six memory tools, and can use an LLM to rank relevant topics and extract durable facts after idle sessions.

Key Capabilities

  • Maintains global profile memory and per-project indexes, topics, and append-only daily logs.
  • Injects entry memory once per session and relevant topic memory on each agent step.
  • Uses LLM ranking when configured, with keyword-based relevance fallback when no LLM route is available.
  • Optionally performs debounced idle-time LLM extraction from recent session events.
  • Registers six tools: memory_write, memory_read, memory_search, memory_daily, memory_forget, and memory_profile.
  • Constrains booted index content to 200 lines or 40,000 characters.

Useful For

  • Retaining user preferences and background across DSH sessions.
  • Keeping project-specific decisions, conventions, and notes available to an agent.
  • Recording dated project updates through daily memory logs.
  • Searching, editing, or deleting stored memory through agent tools.
  • Adding relevance-based context without configuring an LLM route.

Who It Fits

  • DeepSeek Harness users with a plugin-capable profile.
  • Single-user DSH users who want persistent global and project context.
  • Agent workflows that benefit from reusable project notes and user profiles.

Documented Limitations

  • Requires a DeepSeek Harness installation and plugin-capable profile.
  • It has no HTTP API or GUI panel.
  • LLM-based relevance ranking and automatic extraction require a configured LLM provider and model; otherwise it uses keyword relevance only.
  • Auto-extraction is best-effort, runs after a 60-second idle debounce by default, and examines a configurable recent-event window.
  • DSH is treated as a single-user environment; memory paths do not include user-ID isolation.

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 8 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
NattoCB/dsh-plugin-memory
Registry source
Community submission
Registry classification
Plugin
Source checked
a83fcce · 2026-09-19

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
3GitHub stars
Forks
0
Open issues
0
Last commit
2026-08-21
Last release
No release detected
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