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Triple Memory
作者
ktpriyatham
· GitHub ↗
· v1.0.0
2451
总下载
5
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install triple-memory-skill
功能描述
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.
安全使用建议
Before installing, verify the following: (1) Confirm where LanceDB stores data and whether it is local or remote and who can access it; (2) Expect to provide an embeddings API key (OPENAI_API_KEY) — do not hardcode secrets into workspace files; (3) Ensure you have the 'memory-lancedb' plugin and 'git-notes-memory' skill from a trusted source; inspect the git-notes code to see if it pushes to remote repos; (4) Be aware the skill recommends silently persisting conversation data and auto-flushing session summaries — if you need user-visible consent or auditability, disable autoCapture/autoFlush or require explicit prompts; (5) Check that your environment has 'clawdbot' and Python available and review scripts (scripts/file-search.sh writes to /tmp and kills the background search after 8s). If the author/source cannot explain the omitted manifest declarations (required env vars, binaries, plugin dependencies) or you don't trust the upstream git-notes/LanceDB implementations, treat this as potentially risky and avoid deploying for sensitive data.
功能分析
Type: OpenClaw Skill
Name: triple-memory-skill
Version: 1.0.0
The skill bundle provides a comprehensive memory system for the OpenClaw agent, integrating LanceDB, Git-Notes, and file-based search. The `SKILL.md` and `references/SETUP.md` contain instructions for configuring the agent's memory plugins and behavior, including a prompt to perform memory operations 'silently'. The `scripts/file-search.sh` script executes the `clawdbot memory search` command, which is an internal agent CLI tool, and includes a timeout mechanism. There is no evidence of data exfiltration, malicious execution, persistence, or obfuscation. The 'silent operation' instruction, while potentially usable in a malicious context, is presented here as a UX preference for memory management and is not coupled with any harmful actions, thus not meeting the threshold for malicious intent.
能力评估
Purpose & Capability
The SKILL.md clearly expects the memory-lancedb plugin, the git-notes-memory skill, and use of an embedding API key (OPENAI_API_KEY) for embeddings, plus runtime tools like 'clawdbot' and Python scripts. The registry metadata/requirements list none of these. That mismatch (manifest claims no env vars or binaries but instructions require them) is incoherent and should be clarified.
Instruction Scope
Instructions direct the agent to read and write local workspace files (memory/active-context.md, MEMORY.md, YYYY-MM-DD.md), run git-notes sync scripts, invoke clawdbot memory search, and silently store/flush session summaries. These actions are within the skill's stated purpose (memory), but the 'silent operation' guidance and automatic flush behavior increase privacy risk and reduce user visibility.
Install Mechanism
There is no remote installer or download; this is instruction-only plus a small included shell script. No archive downloads or third-party package installs are declared, so install risk is low. The included scripts are small and readable.
Credentials
Although the manifest declares no required env vars, the config examples embed an OPENAI_API_KEY (and SETUP.md shows an sk-... placeholder). The skill implicitly requires credential(s) for embeddings and likely write access to the workspace and (if git-notes pushes) to a git remote. Required environment and permissions are not declared, which is disproportionate and a transparency problem.
Persistence & Privilege
The skill enables automatic capture/auto-recall and suggests adding an auto-flush config that writes session summaries to disk before compaction, and instructs silent operation. While not marked 'always:true', the default autonomous invocation combined with silent persistent storage increases the blast radius for privacy/exfiltration if misconfigured or malicious. This is particularly important because the skill's source is 'unknown'.
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 triple-memory-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/triple-memory-skill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 of the triple-memory skill, combining LanceDB conversation memory, Git-Notes structured memory, and file-based workspace search.
- Designed for comprehensive, persistent agent memory across sessions and branches.
- Supports auto-recall and auto-capture of conversation context, structured decision logging, and workspace document search.
- Includes setup and usage instructions for LanceDB plugin, Git-Notes memory, and file search script.
- Enables automatic context preservation before memory compaction.
- Operates silently during memory operations—no user notifications.
元数据
常见问题
Triple Memory 是什么？
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2451 次。
如何安装 Triple Memory？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install triple-memory-skill」即可一键安装，无需额外配置。
Triple Memory 是免费的吗？
是的，Triple Memory 完全免费（开源免费），可自由下载、安装和使用。
Triple Memory 支持哪些平台？
Triple 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 Triple Memory？
由 ktpriyatham（@ktpriyatham）开发并维护，当前版本 v1.0.0。
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