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llmware-ai / llmware
Unified framework for building enterprise RAG pipelines with small, specialized models
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.
Popularity
Repository stars14,81879,009Highest
Fork2,9276,175Highest
Maintenance
Last push2026-10-012026-11-06
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
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 2026-11-03 UTC