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在 OpenClaw 中安装
/install self-evolving-memory
功能描述
Orchestrate the OpenClaw memory system so it actually runs reliably in practice. Use when the task involves capturing user preferences, current task state, c...
安全使用建议
This skill is coherent and appears to do what it claims: create and manage memory templates and provide routing rules. Before installing or running the setup script, review the templates and scripts (they only copy files and read ~/.openclaw/openclaw.json). Do not run suggested remote install commands (e.g., curl | sh) unless you trust the source; prefer installing embedding backends (like Ollama) via official instructions. Avoid putting API keys or secrets into workspace files; store them in secure config or environment variables per your platform's best practices. If you enable remote embedding providers, verify the remote baseUrl and apiKey targets are trusted. Finally, back up any existing memory files in your workspace before running the setup so nothing is accidentally lost.
功能分析
Type: OpenClaw Skill
Name: self-evolving-memory
Version: 1.0.0
The skill bundle provides a structured framework for managing an AI agent's long-term memory using a layered markdown-based system. The included bash script (scripts/setup.sh) is a standard initialization utility that copies templates and performs local configuration checks, such as verifying the presence of embedding settings in openclaw.json using a safe python3 one-liner. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; all instructions and code are strictly aligned with the stated purpose of memory orchestration.
能力评估
Purpose & Capability
The skill's name/description (memory orchestration) matches the actual content: templates, routing rules, and a setup script that copies templates and checks embedding config. It does not request unrelated credentials or binaries.
Instruction Scope
SKILL.md and the references confine actions to the user's workspace (creating/templating memory files), reading openclaw.json for memorySearch configuration, and optionally using embedding providers for semantic search. There are no instructions to read arbitrary user files, shell history, or exfiltrate data.
Install Mechanism
There is no install spec; the only executable file is scripts/setup.sh which copies templates and checks configuration (benign). The documentation suggests running external commands to install Ollama (curl | sh) and pulling models; that guidance is optional and carries the usual caution about running remote install scripts.
Credentials
The skill itself requires no environment variables or credentials. Documentation explains how to configure embedding backends which may require API keys (OpenAI or remote Ollama endpoints). Requesting embedding API keys is proportionate to optional embedding features, but users should avoid storing secrets in plain templates or unsecured workspace files.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It does not modify other skills or system-wide settings beyond copying templates into the user-specified workspace and reading ~/.openclaw/openclaw.json to check config — behavior consistent with its purpose.
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 self-evolving-memory - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-evolving-memory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
Version 1.0.0
- Initial release: introduces a comprehensive orchestration layer for the OpenClaw memory system.
- Defines clear routing, promotion, and hardening rules for handling user preferences, task states, corrections, decisions, and recurring issues across multiple memory layers.
- Includes a first-run setup protocol for initializing and validating required and recommended memory files.
- Provides embedding/vector recall support with detailed configuration examples.
- Establishes hygiene and maintenance workflows for adapting, promoting, and cleaning up memory.
- Lists trigger phrases and concrete guidance on when and how to apply memory orchestration.
元数据
常见问题
self-evolving-memory 是什么？
Orchestrate the OpenClaw memory system so it actually runs reliably in practice. Use when the task involves capturing user preferences, current task state, c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 98 次。
如何安装 self-evolving-memory？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-evolving-memory」即可一键安装，无需额外配置。
self-evolving-memory 是免费的吗？
是的，self-evolving-memory 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
self-evolving-memory 支持哪些平台？
self-evolving-memory 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 self-evolving-memory？
由 HAL-9909（@hal-9909）开发并维护，当前版本 v1.0.0。
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