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Give a query, get a dataroom. Pi + self-hosted Qwen3.6 research harness on a single L4.
88 starsPython
Dataroom – a Pi and self-hosted research harness on low-budget GPU
by artex_xh·Jun 1, 2026·7 points·0 comments
AI Analysis
●●●BangerBig BrainWizardry
Local model gathers context so frontier models don't burn cash on mechanical search loops.
Strengths
- •Two-stage pipeline separates cheap local research from expensive frontier reasoning effectively.
- •Outcome-based stopping ensures comprehensive datarooms before handing off.
- •Self-hosted architecture keeps sensitive research data off third-party APIs.
Weaknesses
- •Requires local GPU hardware (L4 mentioned) which limits accessibility for some users.
- •Agent reliability depends on the self-hosted model's search tool accuracy.
Category
Target Audience
AI developers, engineers building agentic workflows
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Perplexity · LangChain · Open Deep Research
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