DeepSeek Harness Plugins
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dsh-local-vector-memory

Fully local SQLite vector memory plugin for DeepSeek Harness with automated recall injection and deduplication.

Terminal & TUI
2GitHub Stars0ForksUpdated2026-09-14

Install

$ dsh plugin --profile web add dsh-local-vector-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-local-vector-memory is a fully local vector memory storage and retrieval plugin for DeepSeek Harness (DSH). It utilizes local embeddings, Node.js built-in SQLite for vector persistence, automated contextual memory recall during agent pre-steps, conflict detection, soft-delete recycling, and online snapshots.

Key Capabilities

  • Stores and searches long-term memories locally using SQLite and local embedding endpoints
  • Automatically intercepts memory trigger words in user messages for capture
  • Injects top-K relevant memories into agent context prior to LLM inference with LRU deduplication
  • Detects potential conflicts and near-duplicate memories (similarity threshold check)
  • Supports soft-delete recycle bin with restoration capabilities and permanent purging
  • Provides online SQLite database backups via VACUUM INTO
  • Falls back to keyword matching if the embedding service is unreachable
  • Offers 10 dedicated DSH tools for memory management, extraction, and reindexing

Useful For

  • Persisting user preferences, facts, and conversation context across DSH sessions without cloud dependency
  • Enhancing DeepSeek Harness agents with automated local RAG and memory retrieval
  • Managing and editing past conversational memories with conflict detection and recycle bin safety

Who It Fits

  • DeepSeek Harness users seeking offline, privacy-first persistent memory
  • Developers building personalized local AI workflows with custom embedding setups

Documented Limitations

  • Requires Node.js >= 22.5.0 for built-in node:sqlite support
  • Requires an external OpenAI-compatible local embedding service (e.g., Qwen3-Embedding on llama-server)
  • LLM-based automatic extraction (autoExtract) is disabled by default due to token and reasoning chain constraints on long texts

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.

No automated security signals have been published yet.

Source & Registry Notes

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

Source repository
liangxiaobing520/dsh-local-vector-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
56d5e4c · 2026-09-18

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
2GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-14
Last release
No release detected
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