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dsh-prime-memory

Hierarchical L0–L3 distilled memory plugin for DeepSeek Harness with hybrid retrieval and automated context injection.

UI & ProductivityDeveloper ToolsSkills & Workflows
15GitHub Stars3ForksUpdated2026-10-24

Install

$ dsh plugin --profile web add dsh-prime-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-prime-memory is a layered memory plugin for DeepSeek Harness based on TencentDB's MemoryCore pipeline design. It automatically captures conversations (L0), extracts atomic memories (L1), consolidates scene blocks (L2), and distills user/team personas (L3). It performs pre-step injection into model context, offers session-level memory profiles (chat/work/auto/off), provides keyword and vector hybrid retrieval via sqlite-vec and ONNX, and exposes rich tools for memory inspection, graphing, and conflict resolution.

Key Capabilities

  • Automatic L0 to L3 hierarchical memory capture, extraction, consolidation, and distillation
  • Pre-step synthetic message injection into context with deduplication and recency decay weighting
  • Hybrid search combining BM25 full-text indexing (via jieba) and vector search (remote or local ONNX)
  • Session-level memory mode switcher (daily, work, auto, off, write-only)
  • Comprehensive memory tools for agents including search, scene reading, conflict resolution, and graph traversal
  • Cost telemetry tracking per-model token consumption and execution latency

Useful For

  • Long-running tasks and agent workflows needing continuous context retention across multiple sessions
  • Maintaining user persona and team methodologies across varied interaction tracks
  • Reducing repeated exploratory tool calls in multi-step coding or research tasks
  • Selective memory capture for privacy-sensitive or benchmark testing sessions

Who It Fits

  • DeepSeek Harness developers building stateful or long-horizon agent workflows
  • Power users requiring cross-session persistence of preferences and project context
  • Teams evaluating agent memory benchmarks and token efficiency

Documented Limitations

  • Requires Node >= 22.16.0 and specific DSH engine versions (0.1.x to 0.2.x rc series)
  • Local embedding features require downloading ONNX models and transformers.js into the data directory
  • Upstream provider TTFT timeouts may interrupt distillation if fallbacks or layer-specific routes are not configured

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 5 runtime, 23 development, 10 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
drscrewdriver/dsh-prime-memory
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
b9c9682 · 2026-10-26

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
15GitHub stars
Forks
3
Open issues
6
Last commit
2026-10-24
Last release
2026-10-22
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