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dsh-mnemosyne

Personal cognitive memory infrastructure and tool adapter for DeepSeek Harness.

Terminal & TUIDeveloper ToolsSecurity & Policy
6GitHub Stars0ForksUpdated2026-10-31

Install

$ dsh plugin --profile web add github:canyueY/dsh-mnemosyne#main

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-mnemosyne provides a DeepSeek Harness plugin adapter that connects DSH agents to Mnemosyne 3.0, a modular personal cognitive memory infrastructure. It pairs a Node.js adapter layer with an underlying Python memory node service, exposing specialized memory management tools including memory_search, memory_context, memory_observe, and memory_feedback to handle evidence tracking, schema evolution, and persistent cognitive state.

Key Capabilities

  • Registers memory tools into DeepSeek Harness including memory_search, memory_context, memory_observe, and memory_feedback
  • Manages and supervises the local Python Mnemosyne node service directly from the DSH adapter
  • Maintains an evidence-first memory lifecycle distinguishing observations, candidates, and verified memories
  • Supports schema evolution (assimilation, accommodation, conflict detection) with preview confirmation
  • Incorporates explicit user feedback, action outcomes, and agent self-evaluations with weighted impact
  • Blends lexical search with optional semantic scoring via hashed or custom embeddings

Useful For

  • Providing long-term evolving memory across sessions for DeepSeek Harness agents
  • Preventing silent context overwrite by tracking memory changes, sources, and conflicting evidence
  • Tuning agent behavior based on explicit user corrections and task execution feedback
  • Maintaining localized project and personal knowledge memory banks with SQLite storage

Who It Fits

  • DeepSeek Harness users requiring persistent agent memory and cognitive history
  • Agent developers building applications that need traceable, evolvable long-term context
  • Researchers exploring cognitive architectures, memory banks, and feedback loops for AI

Documented Limitations

  • Requires a working Python environment with dependencies installed to execute the background service
  • Default semantic retrieval relies on lightweight hashed embeddings rather than full natural language transformer models unless an external provider is configured
  • Requires Node.js 20 or higher as specified in package engines

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.

Dependency Counts

package.json declares 0 runtime, 0 development, 1 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 AGPL-3.0.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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

Source repository
canyueY/dsh-mnemosyne
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
b891230 · 2026-10-31

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
0
Open issues
0
Last commit
2026-10-31
Last release
2026-10-31
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