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dsh-auto-memory

Persistent, file-based auto-memory plugin for DeepSeek Harness with prompt auto-injection and lifecycle eviction.

UI & ProductivityDeveloper ToolsBrowser & WebSecurity & PolicyRemote Execution
106GitHub Stars7ForksUpdated2026-10-13

Install

$ dsh plugin --profile demo add dsh-auto-memory

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-auto-memory is an auto-memory plugin for DeepSeek Harness inspired by Claude Code. It provides typed memory files stored as Markdown under $DSH_HOME/memory/ and dynamically injects an index into the system prompt across sessions without requiring external databases or embedding services. The plugin includes automatic session consolidation, cross-process locking, forgetting and staleness eviction, link expansion, and human-gated deletion safeguards.

Key Capabilities

  • Injects persistent memory index dynamically into the DeepSeek Harness system prompt under a configurable byte budget
  • Provides agent memory tools including memory_write, memory_read, memory_list, memory_delete, memory_prune, and memory_delete_all
  • Stores memories in human-readable, typed Markdown files with YAML frontmatter without external databases
  • Supports pinned memories that resist budget truncation and staleness eviction
  • Performs automatic background LLM consolidation of durable facts when a root session concludes
  • Implements concurrency and crash protection with atomic cross-process file locks and orphan recovery
  • Expands [[name]] cross-links during memory recall and evicts stale, unread memories automatically

Useful For

  • Persisting user preferences, role details, and tech stack choices across distinct dsh sessions
  • Retaining project-specific architectural decisions, debugging lessons, and workspace facts
  • Automatically consolidating long chat session conclusions into reusable knowledge entries
  • Managing and pruning accumulated agent memories safely without data corruption

Who It Fits

  • DeepSeek Harness developers seeking persistent memory without running external vector databases
  • Engineers requiring context continuity across multiple CLI/web sessions
  • AI agent builders building specialized workflows with scoped project and user memories

Documented Limitations

  • Requires DeepSeek Harness runtime environment (@deepseek-ai/dsh >= 0.1.5-rc.2) on Node ^22.19.0 or >=24.0.0
  • Budget truncation under heavy memory load is positional rather than full semantic relevance-ranked
  • External third-party vector/embedding search is not included; relies on file indexing and structured prompt injection

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 2 runtime, 14 development, 8 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
AskTheWay/dsh-auto-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
5bcf1c6 · 2026-10-15

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
106GitHub stars
Forks
7
Open issues
3
Last commit
2026-10-13
Last release
2026-10-13
For maintainers

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