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dsh-memory-protocol

v0.3.2

Published

Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.

Readme

dsh-memory-protocol

npm GitHub PyPI

English | 中文

为 DeepSeek Harness 打造的长期记忆插件 — 桥接 opencode-memory MCP 服务器,并附加强制记忆协议。

哼,杂鱼又忘事了吧? 工具调用前先给我 weave 记忆、每轮对话自动存档——省得你三秒重置、重复学习。才、才不是特地为你准备的,只是看不得你每次从零开始犯蠢。

作用

这个 bundle 装两样东西:

  1. memory-mcp — 通过官方 @deepseek-ai/dsh-mcp-client 桥接 opencode-memory 的 Python MCP 服务器(15 个 memory_* 工具:weave/search/ingest/classify/teach_skill 等)
  2. memory-protocol — 强制协议插件,三个 hook:
    • tools/pre-execute — 未 weave 就调其他工具 → 硬拒绝
    • agent/pre-step — 每轮自动 weave 并注入记忆上下文
    • agent/turn-stopping — 每轮自动 ingest 对话

安装

前置依赖:Python MCP server(memory-skill)+ 嵌入模型(bge-large-en-v1.5)。插件启动时会自动引导安装(npm run bootstrap 或插件 autoBootstrap);也可手动安装(下面的命令)。可用 MEMORY_SKIP_BOOTSTRAP=1 关闭自动引导。

# 1. 先装 opencode-memory 的 Python server(提供 memory_skill.mcp_server)
pip install "memory-skill[onnx]" optimum[onnxruntime] huggingface_hub

# 2. 下载嵌入模型(约 1.3GB,自动转 ONNX;国内网络可加 HF_ENDPOINT=https://hf-mirror.com)

# 3. 安装本插件
dsh plugin --profile web add dsh-memory-protocol

默认用 python3 -m memory_skill.mcp_server 启动 MCP server。路径可通过环境变量覆盖:

| 环境变量 | 默认 | 说明 | |---|---|---| | MEMORY_SKILL_PYTHON | python3 | 解释器路径 | | MEMORY_SKILL_DIR | process.cwd() | memory-skill 项目目录 | | MEMORY_SKILL_DB_PATH | (未设) | 记忆库路径,server 默认 memory.db | | IMPORTANCE_API_KEY | (未设) | LLM 重要性评分 key(可选) |

自动引导

插件检测到 memory MCP 工具未注册时,会自动触发 scripts/bootstrap-memory.mjs(也可手动 npm run bootstrap):

  1. pip install --user "memory-skill[onnx]" optimum[onnxruntime] huggingface_hub(已安装则跳过)
  2. 下载 BAAI/bge-large-en-v1.5 并转 ONNX(默认 models/bge-large-en-v1.5/;直连失败自动重试 HF_ENDPOINT=https://hf-mirror.com)

| 环境变量 | 默认 | 说明 | |---|---|---| | MEMORY_SKIP_BOOTSTRAP | (未设) | =1 关闭自动引导 | | MEMORY_SKIP_INSTALL | (未设) | =1 跳过 pip install | | MEMORY_SKIP_MODEL | (未设) | =1 跳过模型下载 | | MEMORY_MODEL_PATH | $MEMORY_SKILL_DIR/models/bge-large-en-v1.5 | 指定模型目录(已有 model.onnx 则跳过下载) |

没有 Python 侧时,插件以 fail-open 模式运行(不强制执行协议、agent 不被阻塞),并显示一次性引导提示。 引导完成并重启 dsh 后,memory 工具注册、严格协议自动恢复。

配置

memory-protocol 的配置项(cordis.patch.yml 中可调):

config:
  enforceWeave: true    # 工具调用前强制 weave(未 weave 拒绝)
  injectWeave: true     # 自动注入记忆上下文
  autoIngest: true      # 每轮自动存档
  allowlist: []         # 豁免工具名(除 memory_* 外)

工作原理

dsh (Web / headless)
  ├─ memory-mcp      @deepseek-ai/dsh-mcp-client ──> python3 -m memory_skill.mcp_server
  │                                                    └─ 15 个 mcp__opencode_memory__* 工具
  └─ memory-protocol 强制协议
       ├─ tools/pre-execute     未 weave → deny
       ├─ agent/pre-step        weave + 注入
       └─ agent/turn-stopping   自动 ingest

License

MIT

截图

cover

| 架构 | 强制执行演示 | 配置项 | |---|---|---| | architecture | demo | config |

演示为真实运行输出:未 weave 调工具 → ⛔ DENY;pre-step 自动 weave 并注入记忆上下文;turn-stopping 自动 ingest。