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dsh-instruction-memory

Persistent instruction memory plugin for DeepSeek Harness managed exclusively by the user via the settings UI.

UI & ProductivityTerminal & TUI
0GitHub Stars0ForksUpdated2026-10-15

Install

$ dsh plugin --profile web add dsh-instruction-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
dsh-instruction-memory adds a dedicated instruction memory panel to the DeepSeek Harness settings UI. Saved long-term instructions are automatically injected into the system prompt across subsequent conversation rounds. To ensure user privacy and prompt integrity, the model is given zero write access or mutation tools—only the user can create, edit, or remove memory entries. The plugin also provides character budget controls, multi-window SSE live sync, atomic file persistence, and DNS rebinding protections.

Key Capabilities

  • Manage long-term custom instructions directly in the DSH settings panel
  • Automatically inject active instructions into system prompts on each turn
  • Strict user-only write model with no model-facing mutation tools or automated overwrites
  • Configure entry modes (always vs. on-demand) and priority levels (high, normal, low)
  • Set character injection budgets with visual usage indicators and priority truncation
  • Real-time cross-tab and cross-process updates using Server-Sent Events (SSE) and directory watchers
  • Safe storage architecture featuring atomic writes, automatic backups, file locks, and revision tracking
  • Export and import instructions as JSON with merge deduplication
  • Built-in Host, Origin, and Fetch Metadata validation to guard against DNS rebinding on loopback interfaces

Useful For

  • Enforcing persistent language, coding, or formatting guidelines across all DSH chat sessions
  • Maintaining domain-specific behavioral constraints without re-entering them in every prompt
  • Safely managing custom instructions without risk of the LLM covertly modifying its own memory

Who It Fits

  • DeepSeek Harness web users needing persistent custom instructions
  • Developers seeking granular control over prompt injection priority and character budgets
  • Users concerned with memory security and LLM prompt isolation

Documented Limitations

  • Settings GUI requires web profile support, although prompt injection continues working in headless/TUI profiles
  • No built-in authentication on API endpoints; requires reverse proxy auth or secure tunnels if exposed beyond localhost
  • Character budget to token conversion is an estimated ratio rather than model-native tokenization
  • Restricted host compatibility enforcing declared DSH version ranges

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 0 runtime, 0 development, 1 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
HERO476/dsh-instruction-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
7bd2438 · 2026-10-15

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
0GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-15
Last release
No release detected
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