Mmcp.market

Head to head

haiku.rag vs ContextPull

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

haiku.ragio.github.ggozad/haiku-rag
A
No reviews yet

Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval

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ContextPullio.github.mi2arun/contextpull
A
No reviews yet

Exact document sections on demand for LLM agents: index in context, search, read, grep, neighbours.

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (92 and 92 out of 100). haiku.rag has noticeably more public adoption.

 haiku.ragContextPull
User ratingNo reviews yetNo reviews yet
Safety gradeA92/100A92/100
AdoptionEstablishedGrowing
GitHub stars6090
Downloads / week–309
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools——
Write actions——
Price per callFreeFree
LicenceMITMIT
Last release2026-09-182026-09-14
CategoryAI and agentsAI and agents

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