token-enhancer is an open-source Python package designed to preprocess web pages by stripping unnecessary content, reducing the number of tokens sent to LLMs. It helps AI developers minimize costs and improve efficiency when building AI agents that fetch and process web content.
token-enhancer sits in PulseGate's AI & ML category. It focuses on reducing the cost and inefficiency of AI agent web-fetching by removing unnecessary content from web pages before LLM processing. It is built as an open-source project for AI developers. token-enhancer is open source under the MIT license. token-enhancer is available on the web and the command line.
xelektron builds and maintains token-enhancer, and the product first shipped in 2026. Development happens publicly on GitHub with 67 stars and 10 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — token-enhancer occupies a relatively distinct niche. Key capabilities include web page cleaning, token reduction, and python package.
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