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dsh-memory-plus

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QIANLING-0831/dsh-memory-plus · 18 天前更新

安装方式

dsh plugin --profile <profile> add ./packages/dsh-memory-bundle
dsh plugin --profile <profile> add ./packages/dsh-session-query-sqlite-cjk
dsh plugin --profile web add dsh-memory
dsh plugin --profile web add github:QIANLING-0831/dsh-memory-plus

仓库内包含的插件

  • dsh-memory-bundlev0.1.0✓

    Meta-bundle: installs all dsh-memory plugins (CJK search, dedup, hybrid memory index, memory tool, compaction locator, core memory, skill manager + self-evolution) into a DeepSeek Harness profile as one patch layer.

  • dsh-compaction-locatorv0.1.0

    Near-lossless compaction for the DeepSeek Harness — extends BasicCompactionEngine so each <compacted-summary> ends with an Exact Sources locator block (spill files, touched file paths, seq range), making compacted details recoverable via memory_search / read.

    dsh.bundle.patch
    —
    官方核心包 (6)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-compaction^0.1.0-rc.7共享
    • @deepseek-ai/dsh-compaction-basic^0.1.0-rc.7共享
    • @deepseek-ai/dsh-llm^0.1.0-rc.7共享
    • @deepseek-ai/dsh-session^0.1.0-rc.7共享
    • @deepseek-ai/dsh-token-meter^0.1.0-rc.7共享
  • dsh-memory-corev0.1.0

    Cross-session core memory for the DeepSeek Harness — workspace-scoped persistent facts (ctx.memoryCore) with a stable system-prompt section (KV-cache safe) and a memory_remember tool.

    dsh.bundle.patch
    —
    官方核心包 (4)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-system-prompt^0.1.0-rc.7共享
    • @deepseek-ai/dsh-tools^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1私有副本
  • dsh-memory-indexv0.1.0

    Hybrid memory search for the DeepSeek Harness — sqlite-vec vector arm + FTS5 lexical arm (RRF fusion) over session events, with local bge embeddings via transformers.js. Provides ctx.memorySearch.

    dsh.bundle.patch
    —
    官方核心包 (4)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-session^0.1.0-rc.7共享
    • @deepseek-ai/dsh-session-query^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1私有副本
  • dsh-memory-skillsv0.1.0

    Skill manager + background self-evolution for DeepSeek Harness — model-facing skill_write/delete/list tools persist DSH-native skill files, and a timer-driven reflection loop distills reusable skills from finished agent turns (background, KV-free, logged).

    dsh.bundle.patch
    —
    官方核心包 (5)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-llm^0.1.0-rc.7共享
    • @deepseek-ai/dsh-skill^0.1.0-rc.7共享
    • @deepseek-ai/dsh-tools^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1共享
  • dsh-memory-toolv0.1.0

    Model-facing memory_search tool for the DeepSeek Harness — hybrid lexical+semantic recall over a session's earlier conversation via ctx.memorySearch, with bounded snippets.

    dsh.bundle.patch
    —
    官方核心包 (3)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-tools^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1私有副本
  • dsh-session-query-sqlite-cjkv0.2.0

    CJK-aware ctx.sessionQuery backend for the DeepSeek Harness — SQLite FTS5 provider with a trigram tokenizer table so Chinese full-text search actually matches (upstream unicode61 does not segment CJK), plus a LIKE fallback for 1-2 character CJK queries.

    dsh.bundle.patch
    —
    官方核心包 (5)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-session^0.1.0-rc.7共享
    • @deepseek-ai/dsh-session-persistence^0.1.0-rc.7共享
    • @deepseek-ai/dsh-session-query^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1私有副本
  • dsh-tool-result-dedupv0.1.0

    Tool-result dedup policy for the DeepSeek Harness — replaces byte-identical repeated plain-text tool results with a pointer to the first occurrence (hash-indexed), saving input tokens on long sessions.

    dsh.bundle.patch
    —
    官方核心包 (5)
    • @deepseek-ai/cordis^4.0.1共享
    • @deepseek-ai/dsh-output-retention^0.1.0-rc.7共享
    • @deepseek-ai/dsh-session^0.1.0-rc.7共享
    • @deepseek-ai/dsh-tools^0.1.0-rc.7共享
    • @deepseek-ai/schemastery^3.18.1私有副本

路径固定于提交 5a66aea598f9

概览

可以有效减少token消耗!DeepSeek Harness memory plugins (dsh-plugin): CJK-aware session full-text search, tool-result dedup, hybrid vector+FTS5 memory search, cross-session core memory, near-lossless compaction locators. Real-harness verified, 65 tests.

仓库检查结果

结果绑定到所列 commit,仅涵盖本站实际执行的静态检查。证据分衡量可复核信息的完整度,不是兼容性百分比,也不构成安全保证。

仓库静态检查

中风险
检查 Commit
5a66aea598f9
证据分
85/100
静态风险
中风险
扫描文件
10
检查发现
5

证据分项

来源溯源25/25
安装文档25/25
维护状况17/20
兼容性证据8/20
安全信号10/10

兼容性置信度: 有限

检查发现 (5)
未执行的检查
  • 依赖漏洞数据库扫描
  • 实际安装测试
  • 运行时行为验证

扫描器 1.0.0 · 评分器 1.0.0