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dsh-auto-memory

Proactive associative memory for DSH: zero-prompt recall injected at a fixed boundary, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers and a PLAN whiteboard that survive context-window switches, water-level sensing with an auto-detected model window. Local Markdown storage, model-agnostic, zero deps; lexical 0GB floor with optional semantic tiers.

Aik358 @Aik358 ⬇ 10,900 ★ 67

Install

dsh plugin --profile web add @a9i5k4/dsh-auto-memory
Download install manifest

For reproducible installs, append #commit to pin a specific revision.

Proactive associative memory for DSH: zero-prompt recall injected at a fixed boundary, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers and a PLAN whiteboard that survive context-window switches, water-level sensing with an auto-detected model window. Local Markdown storage, model-agnostic, zero deps; lexical 0GB floor with optional semantic tiers.

No highlight list provided; see the repository README.

  1. Install and start DeepSeek Harness: npx @deepseek-ai/dsh web
  2. Run the install command above (the CLI resolves the plugin and verifies its source)
  3. Confirm with dsh plugins list; restart Harness if required

Plugins run with your dsh process permissions and may execute code during installation. Read the repository source and license first, and check for destructive commands or excessive access. This site only indexes; it does not vouch for third-party plugins.

Repositorygithub.com/Aik358/dsh-auto-memory
LicenseNot declared (see repo)
Primary language
Downloads10,900
GitHub stars67
Last push
Cataloged2026-08-15
CategoryMemory

Facts come from a public catalog snapshot (2026-09-16); descriptions are rewritten by us.

Sources: the public DeepSeek Harness plugin catalog and each plugin's GitHub repository. This is an independent third-party directory with no affiliation to or endorsement from DeepSeek, High-Flyer, or the plugin authors.

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