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dsh-engram

Minimalist token-saving long-term memory plugin for DeepSeek Harness featuring zero-LLM capture and ESR evidence closure.

UI & ProductivityTerminal & TUIDeveloper ToolsBrowser & WebSecurity & PolicySkills & Workflows
6GitHub Stars2ForksUpdated2026-10-19

Install

$ - **安装方式已验证 / Verified install**: dsh plugin --profile web add dsh-engram

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-engram is a long-term memory plugin for DeepSeek Harness designed for token efficiency. It provides zero-LLM auto-capture from tool results, a symbolic index with progressive disclosure, session-start auto-recall, context GC (replacing lossy summaries with mechanical eviction and pointer re-fetching), and an ESR-lite evidence-closure task tracking protocol with native Web UI components.

Key Capabilities

  • Zero-LLM auto-capture of milestones, file edits, and error fixes using pattern matching with built-in secret redaction
  • Symbolic index prompt injection ([ENGRAM] and [ESR] blocks) frozen per session to preserve KV-cache stability
  • Deterministic BM25 in-process recall and session-start auto-recall over project workspaces
  • ESR evidence-closure task tracking (draft -> active -> stable) with disk verification and relation graphing
  • Context GC replacing default lossy LLM auto-compaction with mechanical eviction and pointer summaries
  • Integrated DSH native settings and UI kanban board for memory and task visualization with zero external UI dependencies

Useful For

  • Retaining project conventions, tool failure fixes, and structural decisions across multi-session DeepSeek Harness agent workflows
  • Preventing agent hallucination of task completion through strict evidence requirements (artifacts, evaluations, memory refs)
  • Reducing token consumption during prompt assembly and context compaction in long-running agent tasks

Who It Fits

  • DeepSeek Harness developers seeking persistent memory across agent sessions
  • Teams aiming to optimize token usage and KV-cache performance in multi-turn coding workflows
  • Engineers requiring evidence-backed task progression and cross-session reproducibility

Documented Limitations

  • Requires DeepSeek Harness runtime >=0.1.2-alpha.2 <0.2.0-0 and Node.js >=22.19.0
  • Preset compaction auto-wiring requires running 'npx dsh-engram revert' prior to uninstalling to avoid dangling references
  • Captures only tool result events and explicit engram_store invocations, intentionally ignoring conversation plumbing

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 1 runtime, 0 development, 7 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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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
skepsun/dsh-engram
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
5f08d21 · 2026-10-22

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
2
Open issues
1
Last commit
2026-10-19
Last release
2026-10-19
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