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dsh-memory

Lingshu long-term auditable memory system and cognitive graph for DeepSeek Harness.

UI & ProductivityTerminal & TUIDeveloper ToolsSecurity & PolicySkills & Workflows
324GitHub Stars24ForksUpdated2026-10-06

Install

$ dsh plugin --profile web add .

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
Lingshu (灵枢) is a long-term memory and cognitive graph plugin for DeepSeek Harness. It turns agent conversations into human-readable Markdown cognitive graphs (md_cg) managed by deterministic, whitebox rule-based arbitration rather than blackbox LLM heuristics. Equipped with a high-performance retrieval engine, CCG 6-element memory compilation, session isolation, and audit gates, it provides auditable, reproducible, and verifiable cross-session memory across DSH and standard MCP hosts.

Key Capabilities

  • Cross-session long-term memory storage backed by plain Markdown cognitive graphs
  • Deterministic rule-based write/recall gatekeeping with zero blackbox LLM hallucinations
  • CCG six-element structured memory compilation with external review verification
  • Multi-harness MCP support covering DeepSeek Harness, Claude Code, Codex CLI, and others
  • High-performance retrieval engine with Chinese semantic normalization and query bridging
  • Role-based access control, write token authentication, and full-trail audit logging

Useful For

  • Retaining and recalling user preferences, project conventions, and decisions across DSH sessions
  • Building auditable and verifiable knowledge graphs for multi-agent collaboration
  • Enforcing deterministic memory curation and preventing conversational hallucination in agent workflows

Who It Fits

  • DeepSeek Harness developers building stateful autonomous agents
  • Engineers requiring strictly auditable and reproducible memory architectures
  • Multi-agent platform developers needing shared MCP memory infrastructure

Documented Limitations

  • Requires Node.js >= 22.19 and a local Python environment to run the md_cg brain backend
  • Default execution is read-only guest mode unless configured with an issued write token (MDCG_TOKEN)
  • Plain text memory writes must satisfy CCG six-element formatting or strict policy rules to avoid gate rejection

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

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Dependency Counts

package.json declares 0 runtime, 9 development, 6 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

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

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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

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

Source repository
FuRongJun-1999/dsh-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
dedef08 · 2026-10-06

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
324GitHub stars
Forks
24
Open issues
3
Last commit
2026-10-06
Last release
2026-10-06
For maintainers

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