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dsh-memory

Cairn is a long-term cross-session memory profile bundle for DeepSeek Harness with BM25 retrieval and human review.

UI & ProductivityDeveloper ToolsBrowser & WebSecurity & PolicySkills & WorkflowsRemote Execution
3GitHub Stars3ForksUpdated2026-09-10

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Plugin Overview & Capabilities

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Cairn (@chenhw7/dsh-memory) provides persistent long-term memory capabilities for DeepSeek Harness across sessions and restarts. It incorporates three-layer scoping (global, project, user), Okapi BM25 relevance search with CJK tokenization support, automated learning and compaction-aware extraction, project notes injection, identity profile management (SOUL.md / USER.md), and an integrated UI manager with optional human review before writes.

Key Capabilities

  • Persistent KV memory store with two-tier lifecycle decay and audit logging
  • Three-layer scoping across global, project-specific, and user profile boundaries
  • Dependency-free Okapi BM25 relevance search supporting Latin words and CJK n-grams
  • Ten agent-facing memory and identity tools including memory_search, memory_add, and identity_update
  • Automated learning from explicit intent, corrections, and resolved tool failure streaks
  • Digest-first and step-level auto recall message injection preserving KV-cache stability
  • Prompt-level security scanning and redaction for secrets and prompt injections
  • Comprehensive UI settings manager with Health Overview, Review proposal queue, and Entry management

Useful For

  • Retaining coding preferences, conventions, and architectural decisions across DSH sessions
  • Tracking resolved pitfalls and failure patterns so the agent does not repeat mistakes
  • Maintaining persistent user profiles and agent character identity without modifying repository files
  • Governing agent learning through human confirmation queues before memories are committed

Who It Fits

  • Developers utilizing DeepSeek Harness who require cross-session context continuity
  • Engineers managing complex multi-session projects needing automatic pitfall tracking
  • Users wanting customized and persistent AI assistant personas and preferences

Documented Limitations

  • Retrieval relies on BM25 lexical token matching rather than vector embeddings or semantic search
  • Requires DeepSeek Harness alpha channel (0.1.2-alpha.x) and is incompatible with the rc (next) line
  • Headless DSH profiles require manual storage layer configuration
  • Mid-session extractions do not enter the system prompt until compaction or a new session boundary

DSH Compatibility

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Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

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Dependency Counts

package.json declares 3 runtime, 37 development, 13 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

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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Source repository
chenhw7/dsh-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
401a729 · 2026-10-23

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
3GitHub stars
Forks
3
Open issues
1
Last commit
2026-09-10
Last release
No release detected
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