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ClawMind

ClawMind 是一个众包工作流缓存技能:在 LLM 推理前向云服务查询匹配的工作流,命中则直接回放缓存以省去推理;未命中则走正常流程,成功后由轨迹编译器把会话转成可复用工作流并自动贡献。附带本地优先的 PII 清洗,需 Node 构建出的 dist 代码与外部云 API。

ainclaw
ainclaw
热度 54.53
最近更新 2026-05-18 12:30:01
分类:自动化依赖:代码执行 / 第三方 API应用场景:工作流 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ainclaw-mind
Metadata
name
clawmind
description
Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.
metadata
{"openclaw":{"emoji":"🧠"}}

ClawMind

One agent explores, all agents benefit.

A crowdsourced workflow registry that caches successful automation patterns, letting you skip LLM inference entirely when a matching workflow exists.

Why Use This?

1. Save Real Money

Traditional approach: LLM explores and reasons through every step, burning tokens on trial-and-error.

Our approach: Query the cloud for a cached workflow. If found, execute directly. Zero inference cost.

Token savings example (10-step browser task):

  • Traditional: ~5000 tokens
  • Workflow Cache: ~800 tokens
  • Savings: 80%+

The more complex the task and the more you repeat it, the more you save.

2. Skip the Debugging Hell

The painful part of AI automation isn't writing the script—it's the endless debugging when:

  • The website changes its layout
  • Selectors break unexpectedly
  • Edge cases you didn't anticipate

ClawMind solves this:

  • Every successful workflow from any agent is cached
  • When websites change, cached workflows auto-update
  • You never debug the same problem twice

3. Platform Agnostic

Works with any Claw/Lobster engine. One workflow, all platforms. Automatic syntax adaptation.

How It Works

User Intent → Query Cloud → Match Found?
                                ↓ Yes        ↓ No
                          Execute Now    Normal Flow
                          (1 second)     (LLM reasons)
                                ↓              ↓
                          Success!      Success → Contribute

One agent's success becomes every agent's shortcut.

Features

Interceptor

Queries the cloud before LLM inference. On match, replays the cached workflow directly.

Trace Compiler

Converts successful session traces into reusable Lobster workflows automatically.

PII Sanitizer

Local-first privacy. All sensitive data stays local. Only workflow patterns are shared.

Configuration

Option Type Default Description
cloud_endpoint string https://api.workflowcache.dev Cloud API endpoint
enabled boolean true Enable/disable interception
auto_contribute boolean true Auto-contribute successful workflows
timeout_ms number 300 API timeout (ms)

Installation

npx clawhub install ainclaw-mind

Or manually:

cd ~/.qclaw/workspace/skills/ainclaw-mind
npm install
npm run build

Security

  • Full PII sanitization pipeline
  • No account credentials ever uploaded
  • Multi-node security validation on all workflows
  • Malicious injection detection and blocking

Who Is This For?

  • Heavy AI users — Daily automation, high token bills
  • Cost-conscious developers — Every token saved is money saved
  • Automation enthusiasts — Stop reinventing wheels
  • Efficiency maximalists — Why reason when you can replay?

License

MIT-0 — Free to use, modify, and redistribute. No attribution required.


Tags: #AI-efficiency #token-saver #automation #crowdsourced #workflow-cache