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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.
deepset-ai / haystack
Author description: Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Popularity
Repository stars78,654Highest26,935
Fork6,141Highest3,401
Maintenance
Last push2026-11-022026-11-06
Maintenance notesNot verifiedNot verified
Repository created2026-01-072019-11-14
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 SDKsAgent frameworks
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 2026-11-02 UTC