Workflow Cache

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

Workflow Cache 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

CODEBLOCK0

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

Features

Interceptor

Trace Compiler

PII Sanitizer

Configuration

Installation

CODEBLOCK1

Or manually:

CODEBLOCK2

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.