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DeepSeek Harness Plugins
DeepSeek Harness PluginManifest Valid

dsh-long-term-memory

Deterministic, layered long-term memory for DeepSeek Harness with BM25 recall and JSONL storage.

UI & ProductivitySecurity & PolicySkills & Workflows
0GitHub Stars0ForksUpdated2026-08-27

Install

$ dsh plugin --profile web add .

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-long-term-memory provides deterministic, multi-scoped persistent memory for DeepSeek Harness sessions. It uses CJK-aware BM25 keyword recall and local JSONL storage across user, global, and workspace scopes without external vector database dependencies. The plugin includes per-assembly prompt context injection, threat scanning, optional write approvals, slash commands, and a Web management UI.

Key Capabilities

  • Three-tier storage hierarchy spanning user profiles, global facts, and project workspace memory
  • CJK-aware BM25 keyword recall with deterministic and reproducible search scores
  • Synchronous prompt context injection during request assembly (recent, full, or off modes)
  • Built-in threat pattern scanning for prompt injections and malicious memory writes
  • Model tools including memory_write, memory_recall, memory_list, memory_forget, memory_export, and memory_batch
  • User slash commands (/memory) and web management UI in the DSH client details panel
  • Atomic JSONL persistence with cross-process file locking and external drift detection
  • Optional post-turn LLM auto-summarization and capacity-aware memory compression

Useful For

  • Persisting user preferences, coding conventions, and persona details across distinct sessions
  • Retaining architectural decisions and constraints scoped directly to a Git repository workspace
  • Searching past conversation notes and facts deterministically without external vector embeddings
  • Reviewing and editing accumulated agent memories through the DSH web UI or slash commands

Who It Fits

  • DeepSeek Harness developers needing cross-session contextual continuity
  • Users who want lightweight, reproducible local memory without vector DB infrastructure
  • Teams tracking project-level decisions within workspace repository files

Documented Limitations

  • Uses BM25 lexical matching rather than semantic vector embeddings
  • Enforces configured character limits per memory store (defaults to 20,000 characters per scope)
  • Requires manual restart of dsh web after installation

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 4 runtime, 0 development, 4 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

info
Package Manifest Available

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

info
Repository Archived

GitHub reports this repository as archived.

medium
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
windrover/dsh-long-term-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
3740ba8 · 2026-08-30

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
2026-08-27
Last release
No release detected
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