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Auto Memory Manager
作者
xuchuanyu1
· GitHub ↗
· v1.0.0
· MIT-0
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当前安装
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版本数
在 OpenClaw 中安装
/install memory-auto-manager
功能描述
Automatic memory management based on built-in memory-lancedb-local-storage. Auto-extract key points, compress conversation, write to MEMORY.md and update vec...
使用说明 (SKILL.md)
memory-auto-manager
基于内置 memory-lancedb-local-storage 的自动记忆管理 Skill。
功能
- ✅ 会话结束自动触发 → 无需手动输入指令，会话结束自动运行
- ✅ 自动压缩提炼 → 调用 LLM 去掉闲聊、重复内容，保留核心信息
- ✅ 自动分类 → 将内容分为
decision/fact/preference/entity四类 - ✅ 自动写入 → 提炼后的核心内容自动追加到
MEMORY.md永久记忆 - ✅ 自动更新索引 → 写入完成后自动执行
openclaw memory index --force更新本地向量语义索引 - ✅ 完全兼容 → 不修改原有
memory-lancedb-local-storage配置和数据，只是在上层增加自动管理功能
配置
无需额外配置，使用当前 OpenClaw 默认 LLM 进行提炼。
工作流程
- 会话结束 → 触发
session:endhook - 获取完整会话对话
- 调用 LLM 提炼核心要点，分类
- 判断是否值得长期保存（内容太短/无价值跳过）
- 值得保存 → 追加写入
MEMORY.md - 执行
openclaw memory index --force更新向量索引 - 完成，日志输出结果
作者
OpenClaw auto generated
安全使用建议
This skill will automatically summarize finished sessions by sending the session text to the platform LLM, append the extracted summary to MEMORY.md in the agent workspace, and run 'openclaw memory index --force' to update local vector indexes. It requests no credentials and installs nothing. Before installing, consider: (1) Do you want automatic writes to MEMORY.md (back it up if needed)? (2) Are you comfortable the full conversation will be sent to your configured LLM provider? (3) If you prefer manual control, disable the skill or remove/modify its session:end and cron hooks. If you need more assurance, review or test the skill in a safe environment to confirm behavior and output formatting.
功能分析
Type: OpenClaw Skill
Name: memory-auto-manager
Version: 1.0.0
The skill 'memory-auto-manager' is designed to automatically summarize conversation sessions and update a local memory index. It uses standard OpenClaw hooks (session:end) and APIs (ctx.invokeLLM, ctx.exec) to extract key points and run the 'openclaw memory index' command, which aligns perfectly with its stated purpose in SKILL.md and index.js.
能力评估
Purpose & Capability
Name/description promise automatic memory extraction, compression, write to MEMORY.md and vector index update. The code registers session:end and command:new hooks, invokes the LLM to extract key points, appends results to MEMORY.md in ctx.workspace, and runs 'openclaw memory index --force' — these actions directly implement the declared functionality.
Instruction Scope
Instructions and code automatically trigger at session:end (and on /new), gather the full session messages, call the default LLM to extract JSON-formatted key points, and append them to MEMORY.md. This is consistent with the stated scope, but it does mean full conversation content is sent to the configured LLM provider and is written to disk without additional confirmation. There are minimal heuristics (message count >=2 and keyPoints length >=20) to avoid trivial writes.
Install Mechanism
No install spec; this is an instruction+code skill that relies on runtime hooks and existing platform APIs. Nothing is downloaded or written to disk by an installer. Code included is small and readable; no external URL downloads or packaged installers are invoked.
Credentials
The skill requests no environment variables, no external credentials, and no config paths. Its operations use platform-provided ctx APIs (invokeLLM, exec, listSessions, workspace). The lack of extra credentials is proportional to its stated role.
Persistence & Privilege
always:false (not force-installed). The skill can run autonomously when session:end fires (normal for skills). It also registers an optional daily cron (if ctx.cron exists) and a CLI command for manual runs. These behaviors increase automatic activity but are coherent with a memory management skill; users should be aware it will write to MEMORY.md and invoke indexing automatically.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install memory-auto-manager - 安装完成后，直接呼叫该 Skill 的名称或使用
/memory-auto-manager触发 - 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
v1.0.0
Initial release: automatic session memory extraction, classification, MEMORY.md writing and vector index update. Support double triggers: session end hook and /new command hook, plus daily batch processing.
元数据
常见问题
Auto Memory Manager 是什么？
Automatic memory management based on built-in memory-lancedb-local-storage. Auto-extract key points, compress conversation, write to MEMORY.md and update vec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 Auto Memory Manager？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-auto-manager」即可一键安装，无需额外配置。
Auto Memory Manager 是免费的吗？
是的，Auto Memory Manager 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Auto Memory Manager 支持哪些平台？
Auto Memory Manager 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 Auto Memory Manager？
由 xuchuanyu1（@xuchuanyu1）开发并维护，当前版本 v1.0.0。
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