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Memory System Sidecar
作者
sjinopenclaw
· GitHub ↗
· v1.0.0
· MIT-0
145
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install memory-system-sidecar
功能描述
Operate, verify, rebuild, and debug the implemented MemoryLab long-term memory sidecar feeding active task and live context files.
安全使用建议
This skill appears coherent and limited to running repository-local refresh/verify/rebuild workflows. Before running it: (1) ensure you trust the repository code because the scripts invoke python3 unit tests and eval scripts which can execute arbitrary Python in the repo; (2) confirm python3 is available (registry metadata omitted this requirement); (3) inspect the referenced Python files (memory-system/ingest/build_index.py, memory-system/eval/run_eval.py, and the test modules) if you will run this in an environment with sensitive data or credentials — those files could make network calls or read env vars even though the skill doesn't request secrets. If you want tighter safety, run the scripts in an isolated environment (container/VM) or review the code prior to execution.
功能分析
Type: OpenClaw Skill
Name: memory-system-sidecar
Version: 1.0.0
The skill bundle is a set of administrative utilities for managing a 'MemoryLab' long-term memory system. It contains shell scripts (e.g., refresh_memory_system.sh, verify_memory_system.sh) that act as wrappers for local Python modules and testing frameworks. The instructions in SKILL.md and the documentation in references/ are consistent with the stated purpose of maintaining project state and indexes, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The skill is declared as an instruction-only operator for the repo's memory sidecar and all actions map to local repo operations (refresh, verify, rebuild). Small mismatch: the runtime commands invoke python3 and repo wrapper scripts but the registry metadata lists no required binaries; this is a minor documentation gap (python3 is implicitly required).
Instruction Scope
SKILL.md directs the agent to run three repository wrapper scripts and to inspect files under memory/, memory-system/, history/, and related docs. The instructions do not ask the agent to read or exfiltrate unrelated system files or environment variables and they point only to project-local artifacts.
Install Mechanism
There is no install spec (instruction-only) and the included shell scripts are small wrappers around repo-local Python tools. No downloads, external package installs, or archive extraction are present.
Credentials
The skill declares no required env vars, secrets, or config paths and the instructions do not reference credentials. This is proportional to the stated purpose. Note that runtime code (tests/eval/build_index) could itself access environment variables — review those files if you need to ensure no secrets are used.
Persistence & Privilege
always is false and the skill does not request modifications to other skills or system-wide config. It runs only when invoked and does not request permanent presence or elevated platform privileges.
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-system-sidecar - 安装完成后，直接呼叫该 Skill 的名称或使用
/memory-system-sidecar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 publication of the MemoryLab memory sidecar operating skill.
元数据
常见问题
Memory System Sidecar 是什么？
Operate, verify, rebuild, and debug the implemented MemoryLab long-term memory sidecar feeding active task and live context files. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 145 次。
如何安装 Memory System Sidecar？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-system-sidecar」即可一键安装，无需额外配置。
Memory System Sidecar 是免费的吗？
是的，Memory System Sidecar 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Memory System Sidecar 支持哪些平台？
Memory System Sidecar 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 Memory System Sidecar？
由 sjinopenclaw（@sjingh）开发并维护，当前版本 v1.0.0。
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