dsh-memory-plus
A DeepSeek Harness memory-optimization plugin bundle with CJK-aware search, hybrid memory retrieval, persistent core memory, compaction locators, tool-result deduplication, and skill management.
Install
$ dsh plugin --profile <profile> add ./packages/dsh-memory-bundlePlugin 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.
Key Capabilities
- Provides a meta-bundle that installs the repository's memory plugins together.
- Adds CJK-aware session full-text search using unicode61 and trigram FTS5 tables with query routing.
- Deduplicates repeated tool results by hash and replaces duplicates with pointers.
- Provides hybrid lexical and vector memory search through ctx.memorySearch and a model-callable memory_search tool.
- Stores cross-session workspace facts through memory_remember and injects stable persistent-memory content into system prompts.
- Adds source locators to compacted summaries for recovery via spill files or memory search.
- Creates, lists, and deletes native DSH skill files; includes optional background reflection for skill distillation.
Useful For
- Improving retrieval of Chinese, Japanese, or Korean session content.
- Reducing repeated tool-result content in model input.
- Recalling prior session material through a bounded memory_search tool.
- Persisting workspace preferences, conventions, environment details, and decisions across sessions.
- Tracing compacted summaries back to exact source locations.
- Managing reusable DSH skills and experimenting with background skill generation.
Who It Fits
- DeepSeek Harness users managing long-running or multi-session workspaces.
- DSH plugin developers building memory and retrieval workflows.
- Chinese-speaking DSH users affected by CJK full-text search limitations.
Documented Limitations
- The packages are not published to npm; installation is documented from a cloned repository or release source archive.
- Installation requires dsh and pnpm to be available on PATH.
- Production transformer embeddings require configuration of embedder.kind: transformers and installation of @huggingface/transformers; the documented default is a char-overlap evaluation embedder.
- Automatic recall injection is not enabled; the design relies on model-initiated memory_search and a stable core-memory system-prompt section.
- The README marks real-harness trigger verification for compaction-locator, deduplication, and memory-skills as pending.
DSH Compatibility
Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.
Security Signals
Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.
package.json declares 0 runtime, 0 development, 0 peer, and 0 optional dependencies.
GitHub reports the repository license as MIT.
A root package.json was captured and can be inspected by the registry.
Public GitHub source metadata is available for this registry snapshot.
Source & Registry Notes
Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.
- Source repository
- QIANLING-0831/dsh-memory-plus
- Registry source
- GitHub · dsh-plugin topic
- Registry classification
- Plugin Bundle
- Source checked
- 5a66aea · 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
- 8GitHub stars
- Forks
- 2
- Open issues
- 2
- Last commit
- 2026-08-20
- Last release
- 2026-08-18
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