📦 OpenClawBrain — AI记忆图谱
v12.2.1纯 Python 实现的 AI 智能体记忆图谱，以策略梯度路由在文档块间自学习、自调节、自纠错，持续优化知识路径。
0· 414·1 当前·1 累计
by 下载技能包
最后更新
2026/2/28
安全扫描
OpenClaw
可疑
medium confidenceNULL
评估建议
This skill appears to be a coherent memory-graph tool, but before installing: 1) understand it will read and chunk your workspace files and persist mutable state to a local JSON (./brain/state.json) and run a daemon listening on a Unix socket — review where that file and socket will live and who/what can access them; 2) if you plan to use the OpenAI embedder/LLM, you will need to supply an API key (the skill bundle did not declare any required env vars like OPENAI_API_KEY); 3) the skill supports...详细分析 ▾
ℹ 用途与能力
The name/description (learned memory graph, policy-gradient routing) match the SKILL.md workflow (init, query, learn, daemon, maintenance). Requiring local workspace files and a state JSON is coherent. However, the README promotes optional OpenAI embeddings/LLM usage while the registry metadata declares no required environment variables (e.g., OPENAI_API_KEY) — an omission that is disproportionate to the advertised embedder capability.
ℹ 指令范围
Instructions explicitly tell the agent to read and chunk workspace files, run a long-lived daemon that holds state in memory and listens on a Unix socket, and perform autonomous 'self_learn' updates. Those actions are consistent with a memory/learning system but grant the skill discretion to read local files and mutate its state without human review; the SKILL.md also references 'chat_id lookback' for human corrections which implies reading session/chat context.
✓ 安装机制
This is an instruction-only skill with no install spec or code files in the bundle, which is the lowest install risk. The SKILL.md shows standard pip install commands for a PyPI package, which is expected for a Python project.
⚠ 凭证需求
The skill advertises optional OpenAI embedding/LLM usage (e.g., text-embedding-3-small) but the registry shows no required environment variables or primary credential. If you plan to use the OpenAI embedder the agent or user will need an API key (OPENAI_API_KEY or equivalent); the skill does not declare this, so the registry metadata understates credential needs. No other unexpected credentials are requested.
ℹ 持久化与权限
The skill runs a daemon that keeps state hot in memory and exposes a Unix socket for NDJSON RPC; it also provides autonomous 'self_learn' capabilities that mutate the memory graph. It does not request 'always:true' or system-wide config changes, but it does persist state on disk (state.json) and can autonomously update that state — consider the security/privacy implications of allowing autonomous updates and a local socket accessible to other processes.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv12.2.12026/2/28
NULL
● 无害
安装命令
点击复制官方npx clawhub@latest install openclawbrain
镜像加速npx clawhub@latest install openclawbrain --registry https://cn.longxiaskill.com