Trending repositories: token-reduction

2 tracked repositories tagged with token-reduction, ordered by stars. Use the topic filters below to narrow further.

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  • headroomlabs-ai/headroom

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

    AI summary: A context compression layer for LLMs that significantly reduces token usage for coding agents and JSON payloads.

    70,931ai-mlPythonApache-2.0

  • scaledown-team/scaledown

    AI summary: An intelligent context optimization framework that reduces LLM token usage using AST and semantic search.

    834ai-mlPythonGPL-3.0