E2LLM Open-Sources SiFR Browser Format to Limit AI Agent Attack Surface

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E2LLM has published SiFR (Salience-Indexed Flat Relations), its browser capture format specification, as an open-source MIT-licensed project on GitHub. Unlike most browser-focused AI tools that function as autonomous agents with broad permissions, E2LLM positions itself as a perception layer that gives language models structured awareness of web pages without independent planning or looping. The SiFR format ranks and selects page elements by salience rather than dumping the full DOM or relying on accessibility trees, producing a compact 5–15 KB summary optimized for language model consumption. The MCP server exposes nine tools split between five read-only perception tools and four interaction tools, with state-changing actions subject to user confirmation. The capture engine and hosted server remain proprietary, while the format specification, taxonomy, and interface are fully open.

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