dsh-persona-memory
Persistent persona and project memory plugin for DeepSeek Harness, with memory tools, context injection, search, and a WebUI settings page.
Install
$ dsh plugin --profile web add file:E:/GitHub/lian_dshPlugin 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
- Stores persistent MEMORY.md, USER.md, failures.md, standing instructions, and project-level memories.
- Registers memory read, add, update, delete, rewrite, and search tools.
- Injects configured memory sections into the system prompt on each request.
- Supports FTS5 search with substring-search fallback; optional vector search combines FTS5 and vector rankings.
- Provides /standing commands and a WebUI settings section for memory, index, backup, and plugin configuration management.
- Can automatically extract memories, record detected corrections as failures, and consolidate oversized memories through LLM calls.
- Scans write content for prompt-injection or data-exfiltration patterns, credential-like strings, and invisible Unicode characters.
- Uses atomic writes and pre-write file fingerprint checks to reduce overwrite conflicts with externally edited shared memory files.
- Supports byte-compatible shared memory files with pi-hermes-memory according to the repository documentation.
Useful For
- Retaining user preferences and durable facts across DeepSeek Harness sessions.
- Keeping project-specific context associated with a Git repository or worktree.
- Searching prior memories and recorded failures during agent work.
- Managing persistent standing instructions through commands or the web UI.
- Sharing compatible memory files between DeepSeek Harness and pi-hermes-memory.
Who It Fits
- DeepSeek Harness users who need persistent cross-session memory.
- Users of pi-hermes-memory seeking shared memory files in DSH.
- Teams or developers who want project-scoped agent context and searchable operational lessons.
Documented Limitations
- Vector search is disabled by default.
- Local vector embeddings require a first-use model download; the README cites an approximately 80 MB default model.
- FTS5 may be unavailable, in which case search falls back to substring scanning.
- The README warns that simultaneous writes by DSH and Pi can still be unsafe under extreme concurrency; avoiding simultaneous operation is recommended.
- Automatic learning and consolidation use LLM calls and have configurable timeouts.
- Remote embeddings require a compatible embeddings endpoint and API key configuration.
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 1 runtime, 4 development, 7 peer, and 0 optional dependencies.
package.json declares DSH bundle metadata.
GitHub reports the repository license as NOASSERTION.
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
- Quophic/dsh-persona-memory
- Registry source
- GitHub · dsh-plugin topic
- Registry classification
- Plugin
- Source checked
- f6d09eb · 2026-10-19
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
- 6GitHub stars
- Forks
- 1
- Open issues
- 2
- Last commit
- 2026-10-18
- Last release
- No release detected
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