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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 stars14,81878,654Highest
7-day net stars——
Fork2,9276,141Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-012026-11-02
Maintenance notesNot verifiedNot verified
Repository created2023-09-292026-01-07
License & use
LicenseApache-2.0 · 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 projectUnified framework for building enterprise RAG pipelines with small, specialized modelsAuthor 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 at2026-11-03 08:24 UTC2026-11-02 18:59 UTC
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