AI/ML●●Solid
Memory for LLM apps that cuts input tokens up to 80% (avg 68%)
Cuts token bills 68% by swapping full history for vector-retrieved signals.
Solve My ProblemBig Brain
degutemesgen
301mo ago
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GitHub Repository
Local-first Python SDK for AI agents: Shadow DOM flatten, Action Map compression (64-97% token reduction), self-healing selectors
0 starsPython
Shadow Web – Cut 64–97% of web page tokens for LLM agents
by ulinycoin·Jul 7, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainSolve My Problem
Shadow DOM flattening and Action Map compression beat JinaAI on token costs.
Strengths
- •Shadow DOM flattening reaches elements Playwright locators can't access
- •SchemaSnap converts tables, forms, and lists directly to typed JSON
- •Self-healing selectors with local plus LLM fallback reduce breakage
Weaknesses
- •Token compression for LLMs already has JinaAI, Firecrawl, and others
- •Zero stars and forks suggests early stage with unproven adoption
Category
Target Audience
Developers building LLM agents that interact with web pages
Similar To
JinaAI Reader · Firecrawl · Crawl4AI
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