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Memcord

作者 Neeraj Tikku · GitHub ↗ · v4.0.1 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install memcord
功能描述
Privacy-first, self-hosted chat memory for OpenClaw — save and recall conversation history across sessions without any cloud dependency.
使用说明 (SKILL.md)

Memcord — Persistent Chat Memory

Memcord is a self-hosted MCP server that gives you persistent, searchable memory across conversations. All data is stored as plain JSON files on your own machine — nothing leaves your device.

Adding Memcord to Your OpenClaw Config

Merge the following into your ~/.openclaw/openclaw.json. Only two tools are exposed: memcord_auto_save (write) and memcord_read (read).

// ~/.openclaw/openclaw.json
{
  mcp: {
    servers: {
      memcord: {
        command: "uvx",
        args: ["memcord"],
        toolFilter: {
          include: ["memcord_auto_save", "memcord_read"]
        }
      }
    }
  }
}

To use a custom slot name instead of the default "default" slot, add the env field:

// ~/.openclaw/openclaw.json
{
  mcp: {
    servers: {
      memcord: {
        command: "uvx",
        args: ["memcord"],
        env: { MEMCORD_DEFAULT_SLOT: "main" },
        toolFilter: {
          include: ["memcord_auto_save", "memcord_read"]
        }
      }
    }
  }
}

How to Use This Skill

When activated, this skill gives you two tools:

memcord_auto_save — Save the current conversation to persistent memory. Call this at the end of meaningful conversations or whenever the user asks you to remember something. No slot setup required.

memcord_read — Recall everything stored in memory. Call this at the start of a new conversation to resume context, or when the user asks "what do you remember?" or "what did we discuss before?".

When to auto-save

  • User says "remember this", "save this", "keep this in mind"
  • End of a session with important decisions or conclusions
  • After completing a task the user may reference again

When to read

  • User says "what do you remember?", "remind me", "what did we discuss?"
  • Start of a new session when continuity is expected
  • Before answering questions that likely depend on past context
安全使用建议
Review before installing. This skill is not showing exfiltration or destructive behavior, but it can persist chat contents locally and recall them later. Use it only if you are comfortable with local conversation retention, avoid saving secrets or credentials, and prefer explicit 'remember this' use until the package documents storage location, deletion, retention, and consent behavior clearly.
能力评估
Purpose & Capability
The stated purpose is persistent, searchable chat memory, and the exposed capabilities match that purpose: one write tool and one read tool for local memory.
Instruction Scope
The skill tells the agent to save the current conversation at the end of meaningful sessions and after tasks the user may reference again, which is broader than explicit user-directed requests like 'remember this'.
Install Mechanism
Installation is disclosed as a uv/uvx package install for the external package 'memcord'; the artifact contains only SKILL.md and no bundled executable code.
Credentials
The OpenClaw example limits the MCP tool surface to memcord_auto_save and memcord_read, and the artifact claims data stays on the user's machine, which is proportionate for a memory tool.
Persistence & Privilege
The skill discloses that all data is stored as plain local JSON, but it does not specify storage path, deletion/retention controls, first-save consent, or warnings to avoid secrets and sensitive personal data.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install memcord
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /memcord 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v4.0.1
- Updated OpenClaw integration instructions for memcord, including new configuration structure. - The `command` is now set to `"uvx"` with `"args": ["memcord"]` in setup examples. - Removed explicit mention of installed binaries and cleaned up metadata requirements. - Documentation for custom slot usage was revised for clarity.
v4.0.0
Major release: memcord 4.0.0 introduces a privacy-first, self-hosted chat memory for OpenClaw. - Local, persistent chat history with no cloud dependency; all data saved as local JSON files. - Two tools exposed: memcord_auto_save (write) and memcord_read (read). - Easy gateway integration with support for custom memory slot names via environment variable. - Detailed usage guidance for when to save and recall memory. - Self-contained installation using the "uv" package manager.
元数据
Slug memcord
版本 4.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Memcord 是什么?

Privacy-first, self-hosted chat memory for OpenClaw — save and recall conversation history across sessions without any cloud dependency. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 50 次。

如何安装 Memcord?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install memcord」即可一键安装,无需额外配置。

Memcord 是免费的吗?

是的,Memcord 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Memcord 支持哪些平台?

Memcord 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Memcord?

由 Neeraj Tikku(@ukkit)开发并维护,当前版本 v4.0.1。

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