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dsh-puppet-memory

Layered cross-session memory plugin for DeepSeek Harness with core cards, state vectors, multi-entity isolation, and backup tools.

UI & ProductivityTerminal & TUIDeveloper ToolsSecurity & PolicyRemote Execution
0GitHub Stars0ForksUpdated2026-10-24

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Plugin Overview & Capabilities

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source-grounded
dsh-puppet-memory (Puppet Memory) is a comprehensive cross-session memory plugin for DeepSeek Harness. Built with zero external runtime dependencies on top of local plain-text JSONL and Markdown files, it provides a three-layer memory architecture (behavior, deep, and array), a 600-character always-injected core card, three-line state tracking (work, companion, learning), multi-entity privacy isolation (group/direct message boundaries), session-scoped suppression, model-based auto-summarization, and local doctor/backup tooling.

Key Capabilities

  • Three-layer memory architecture separating immediate behavior (personas, relations, notes, diary), deep knowledge (sayings, guides), and session array indexes
  • Persistent 600-character core card (core.md) always guaranteed in context with priority deduplication and token budget deduction
  • Three-line continuous state engine (work, companion, learning) with vocabulary scoring, half-life decay, and hysteresis
  • Multi-user and multi-group social partitioning preventing data leakage across private chats and group boundaries
  • Session-level memory suppression and deletion tools for dirty or sensitive memory chunks without touching persistent raw logs
  • Automated turn summaries and fact candidates pipeline requiring explicit human confirmation before persisting
  • Independent small model routing for summary generation with automatic fallback to host session models
  • Built-in environment doctor (memory_doctor), automated snapshots, and duty dashboard for runtime heartbeat monitoring

Useful For

  • Retaining persistent agent personas, user preferences, and relationship contexts across DeepSeek Harness sessions
  • Preventing private knowledge leakage when running an agent in multi-user groups and public channels
  • Suppressing hallucinated, outdated, or sensitive context turns directly within an active session
  • Offloading background context summarization to local small LLMs (e.g., via Ollama) to conserve main model context

Who It Fits

  • DeepSeek Harness desktop users needing persistent, cross-session conversational memory
  • Agent creators running multi-channel or multi-group chatbots requiring strict privacy boundaries
  • Developers seeking auditable, plain-text local memory with built-in backup and diagnostic tools

Documented Limitations

  • Fact extraction candidates and entity identity merges require explicit human confirmation and are disabled by default
  • Automatic summarization consumes token budgets and LLM calls, and is disabled by default
  • Context injection for social memories requires recognizable session headers; unrecognized scenes suppress social injection by design
  • Memory storage relies on local filesystem permissions and paths in ~/.dsh/memory

DSH Compatibility

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Security Signals

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Dependency Counts

package.json declares 0 runtime, 0 development, 0 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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Source Available

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Source & Registry Notes

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Source repository
xingyueDanYang/dsh-puppet-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
894b333 · 2026-10-24

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

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Last commit
2026-10-24
Last release
2026-10-24
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