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Hheadroom
Author description: 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.
Popularity
Repository stars3,60378,654Highest
7-day net stars——
Fork3306,141Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-272026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-03-142026-01-07
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryGeneralModel SDKs
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this project⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)Author description: 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.
Measured at2026-11-02 19:01 UTC2026-11-02 18:59 UTC
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