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Proactive Memory Agent

作者 silaszhu · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install proactive-memory-agent
功能描述
Ultimate memory optimization for AI agents. Combines WAL protocol, Working Buffer, three-tier memory (HOT/WARM/COLD), context budgeting (10/40/20/20), and .l...
安全使用建议
This skill appears to do what it says: local memory tiering and checkpointing inside your OpenClaw workspace. Before installing or running init.sh: (1) Inspect the scripts yourself (they're included) to confirm behavior; (2) Ensure you do not have secrets, API keys, or sensitive files stored under $HOME/.openclaw/workspace (or whatever OPENCLAW_WORKSPACE you set), because the scripts snapshot and archive workspace contents; (3) Be aware optional tools (jq, openclaw CLI) are used when available but not required; (4) If you want an extra safety layer, run the scripts in a restricted environment (container or VM) or backup your workspace first; (5) If you need networked or multi-agent sharing, verify the skill does not add remote endpoints (it currently does not).
能力评估
Purpose & Capability
Name/description (memory optimization, WAL, tiering, context budgeting) match the included scripts and SKILL.md. The scripts only create and manage files under the OpenClaw workspace (SESSION-STATE.md, .learnings/, memory/ etc.), and optionally call local tools like jq or the openclaw CLI. Nothing required by the skill (no env vars, no credentials, no external binaries) is inconsistent with its stated purpose.
Instruction Scope
Runtime instructions direct the agent/operator to run init.sh, detect.sh, search.sh, tiering.sh, and checkpoint.sh which read, write, copy and archive workspace files. This is expected for a memory manager, but the scripts aggregate and snapshot content (e.g., copying SESSION-STATE.md into snapshots), so they will capture any text present in your workspace files. There are no network endpoints or remote uploads in the scripts, but the scope of files touched is broad within the workspace.
Install Mechanism
No install spec or external downloads are used. The skill is instruction-plus-scripts only; all logic is present in the included shell scripts. This is lower risk than remote installers. The scripts do rely optionally on local utilities (jq, openclaw CLI) if present.
Credentials
The skill declares no required environment variables or credentials. It does respect an OPENCLAW_WORKSPACE variable if set and otherwise uses $HOME/.openclaw/workspace. While that is proportional to its purpose, the scripts will read and archive files under that workspace — which could include tokens or secrets if you store them there. No unrelated external credentials are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system-wide configs, and only creates files under the workspace path. Its persistence is limited to workspace files it creates/updates (.proactive-memory-state.json, SESSION-STATE.md, memory/ and .learnings/).
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 proactive-memory-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /proactive-memory-agent 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
v1.0.1
v1.0.1: Added comprehensive Chinese documentation (中文文档). Bilingual support for SKILL.md with full Chinese translations and examples.
v1.0.0
Initial release. Ultimate memory optimization combining WAL protocol, Working Buffer, context budgeting (10/40/20/20), and three-tier memory (HOT/WARM/COLD). Achieves 60-70% context reduction with zero information loss.
元数据
Slug proactive-memory-agent
版本 1.0.1
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

Proactive Memory Agent 是什么?

Ultimate memory optimization for AI agents. Combines WAL protocol, Working Buffer, three-tier memory (HOT/WARM/COLD), context budgeting (10/40/20/20), and .l... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 142 次。

如何安装 Proactive Memory Agent?

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

Proactive Memory Agent 是免费的吗?

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

Proactive Memory Agent 支持哪些平台?

Proactive Memory Agent 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 Proactive Memory Agent?

由 silaszhu(@silaszhu)开发并维护,当前版本 v1.0.1。

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