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Openclaw Memory

作者 AtlasPA · GitHub ↗ · v1.0.0
darwinlinuxwin32 ⚠ suspicious
6264
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在 OpenClaw 中安装
/install openclaw-memory
功能描述
Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions.
安全使用建议
Review before installing. Use local embeddings unless you explicitly accept sending memory text and search queries to OpenAI, do not store secrets or regulated data, do not expose the dashboard without authentication, and do not give agents funded wallet access without explicit spending caps and human approval.
功能分析
Type: OpenClaw Skill Name: openclaw-memory Version: 1.0.0 The skill implements a persistent memory system that includes an autonomous payment feature (x402 protocol) allowing AI agents to 'upgrade' themselves to a Pro tier for 0.5 USDT/month. While the core RAG functionality is standard, the bundle uses prompt injection techniques in `SKILL.md` and `AGENT-PAYMENTS.md` to persuade the agent to spend funds autonomously based on 'ROI' calculations. Furthermore, `src/x402.js` contains a significant vulnerability where the `verifyTransactionOnChain` function is a stub that 'trusts any valid-looking transaction hash,' which could be exploited or lead to unintended financial state changes. The inclusion of autonomous spending logic and persuasive instructions targeting the agent's decision-making process is highly risky.
能力评估
⚠ Credentials
The dashboard exposes memory read, write, search, delete, stats, and payment endpoints keyed only by caller-supplied wallet values, and the server does not explicitly bind to loopback. The default OpenAI embedding provider can transmit memory text externally despite local-only privacy claims.
ℹ Install Mechanism
The package has no postinstall script and uses declared OpenClaw hooks in package.json; however, documentation says the hooks work automatically after install, so sensitive collection begins as part of normal skill use.
⚠ Instruction Scope
The request hooks automatically extract and store prompt/response-derived memories, then reinsert retrieved memory content as request context and memory_text without clear untrusted-data boundaries or user opt-in controls.
⚠ Persistence & Privilege
The skill creates persistent storage under ~/.openclaw/openclaw-memory, keeps conversation-derived memories and access/payment records, supports deletion/pruning, and provides Pro unlimited retention without strong authentication, redaction, or quota enforcement guarantees.
⚠ Purpose & Capability
The stated purpose, persistent semantic memory with x402 payments, matches the shipped hooks, SQLite storage, dashboard, and payment code, but those capabilities handle sensitive conversation history and payment state with insufficient scoping and disclosure.
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 openclaw-memory
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-memory 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
v1.0.0
- Initial release of openclaw-memory: persistent memory system for OpenClaw agents with semantic search and x402 payment integration. - Supports both Free (100 memories, 7-day retention) and Pro (unlimited, permanent) tiers. - Features local storage with SQLite and vector embeddings for semantic retrieval. - Provides command-line tools and a web dashboard for managing memories. - All data is stored locally with full privacy and no external telemetry.
元数据
Slug openclaw-memory
版本 1.0.0
许可证 —
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Openclaw Memory 是什么?

Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 6264 次。

如何安装 Openclaw Memory?

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

Openclaw Memory 是免费的吗?

是的,Openclaw Memory 完全免费(开源免费),可自由下载、安装和使用。

Openclaw Memory 支持哪些平台?

Openclaw Memory 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Openclaw Memory?

由 AtlasPA(@atlaspa)开发并维护,当前版本 v1.0.0。

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