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headroomlabs-ai / headroom
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.
llmware-ai / llmware
Unified framework for building enterprise RAG pipelines with small, specialized models
Popularity
Repository stars79,009Highest14,820
Fork6,175Highest2,926
Maintenance
Last push2026-11-062026-10-01
Maintenance notesNot verifiedNot verified
Repository created2026-01-072023-09-29
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
SubcategoryModel SDKsGeneral
PlatformNot verifiedNot verified
First collected2026-11-032026-11-03
LanguagePythonPython
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Measured at 2026-11-06 UTC