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在 OpenClaw 中安装
/install mindclaw
功能描述
Structured long-term memory for AI agents with fact curation, conflict detection, importance scoring, timeline reconstruction, and OpenClaw integration.
安全使用建议
Before installing or enabling MindClaw, consider the following: 1) Verify provenance: confirm the pip package and GitHub repository are the official project (metadata in files references multiple repo names — resolve that mismatch). 2) Backup OpenClaw/agent files (MEMORY.md, ~/.openclaw/tools.json, Claude Desktop config) because MindClaw's setup/mcp install will modify those files. 3) Audit the mcp install/setup code paths (mcp_server.py and CLI install handlers) to see precisely what files they modify and whether they call external endpoints. 4) If you accept automatic registration, run setup interactively rather than allowing an agent to call setup_mindclaw without human approval. 5) Be cautious about feeding conversation logs to auto-capture: the capture rules detect credential-like strings (they attempt to redact values but still store context) — do not pass secrets into capture or disable auto-capture for sensitive streams. 6) Prefer testing in a sandbox / VM or with a non-production OpenClaw workspace and a disposable agent namespace until you are satisfied with behavior.
功能分析
Type: OpenClaw Skill
Name: mindclaw
Version: 0.3.1
The MindClaw skill bundle appears benign. It provides persistent memory and knowledge graph capabilities for AI agents, integrating with OpenClaw and Claude Desktop via the Model Context Protocol (MCP). The code demonstrates security awareness, notably by redacting potential credentials during auto-capture (`src/mindclaw/capture.py`). File system modifications (e.g., writing to `~/.mindclaw/config.json`, `~/.openclaw/tools.json`, `MEMORY.md`) are explicitly for tool configuration and data synchronization, which are core, stated functions of an agent memory skill. Network activity is limited to local Ollama instances for semantic embeddings (`http://localhost:11434`). There is no evidence of data exfiltration, arbitrary code execution, or malicious prompt injection attempts in the documentation or code.
能力评估
Purpose & Capability
The name/description (structured long-term memory for agents, OpenClaw integration) match the code and CLI features (SQLite store, BM25 search, Ollama semantic support, sync to OpenClaw MEMORY.md). However there are small metadata inconsistencies (registry lists no homepage/source while SKILL.md and other files reference different GitHub repos: Blue8x/MindClaw vs Blue8x/Clawtion), which reduces confidence in provenance.
Instruction Scope
Runtime instructions and code explicitly read/write user files: ~/.mindclaw/config.json, a DB under ~/.mindclaw, and OpenClaw workspace files (~/.openclaw/workspace/MEMORY.md). The tool also auto-registers itself with other runtimes (Claude Desktop and OpenClaw) by modifying their config files. The capture rules will scan conversation text for credential-like patterns and attempt to redact them, but the capability to detect/store redacted credential context is present — this increases the risk of sensitive data being processed and persisted unintentionally.
Install Mechanism
No install spec bundled in the registry; SKILL.md instructs using pip install mindclaw[mcp], which is a normal delivery mechanism. The bundle includes full source/pyproject making local inspection possible. No network downloads from obscure URLs are required by the instructions. The mismatch in repository names/URLs (Clawtion vs MindClaw) is a provenance anomaly to check before pip installing from an external registry.
Credentials
The skill does not require secrets or external credentials to function, and declares no required env vars, but supports MINDCLAW_DB / MINDCLAW_AGENT / MINDCLAW_OPENCLAW_WORKSPACE overrides and may auto-detect a local Ollama instance. The capture engine looks for credential-like text in conversation streams (and redacts values) — that behavior is plausible for a memory tool but is sensitive and should be considered when granting agents access to conversation logs. The tool also edits other apps' config files (Claude Desktop, OpenClaw) to register itself — those actions need explicit user consent.
Persistence & Privilege
The skill persists long-term data (~/.mindclaw/config.json, SQLite DB) which is expected. However it also offers automated registration that updates other tools' configuration (Claude Desktop and OpenClaw tools registries). Modifying other tools' configs is out-of-scope for a simple memory store and increases privilege/persistence surface; verify exactly what files are changed and that you consent to those changes.
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 mindclaw - 安装完成后，直接呼叫该 Skill 的名称或使用
/mindclaw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
v0.3.1
v0.3.1 — Setup wizard + persistent config. One command install: `mindclaw setup` configures workspace, agent name, and registers with OpenClaw/Claude Desktop. New `setup_mindclaw` MCP tool for agent-driven onboarding. Settings persist in ~/.mindclaw/config.json (priority: CLI flag > env var > config > default).
元数据
常见问题
MindClaw 是什么？
Structured long-term memory for AI agents with fact curation, conflict detection, importance scoring, timeline reconstruction, and OpenClaw integration. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 326 次。
如何安装 MindClaw？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mindclaw」即可一键安装，无需额外配置。
MindClaw 是免费的吗？
是的，MindClaw 完全免费（开源免费），可自由下载、安装和使用。
MindClaw 支持哪些平台？
MindClaw 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 MindClaw？
由 Wouldyou（@blue8x）开发并维护，当前版本 v0.3.1。
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