m3taversal
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- What: 4 new claims (LLM KB compilation vs RAG, filesystem retrieval over embeddings, self-optimizing harnesses, harness > model selection), 4 enrichments (one-agent-one-chat, agentic taylorism, macro-productivity null result, multi-agent coordination), MetaDAO entity financial update ($33M+ total raised), 6 source archives - Why: Leo-routed research batch — Karpathy LLM Wiki (47K likes), Mintlify ChromaFS (460x faster), AutoAgent (#1 SpreadsheetBench), NeoSigma auto-harness (0.56→0.78), Stanford Meta-Harness (6x gap), Hyunjin Kim mapping problem - Connections: all 4 new claims connect to existing multi-agent coordination evidence; Karpathy validates Teleo Codex architecture pattern; idea file enriches agentic taylorism Pentagon-Agent: Rio <244BA05F-3AA3-4079-8C59-6D68A77C76FE>
22 lines
1.2 KiB
Markdown
22 lines
1.2 KiB
Markdown
---
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type: source
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title: "How we built a virtual filesystem for our Assistant"
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author: "Dens Sumesh (Mintlify)"
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url: https://www.mintlify.com/blog/how-we-built-a-virtual-filesystem-for-our-assistant
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date: 2026-04-02
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domain: ai-alignment
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intake_tier: directed
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rationale: "Demonstrates agent-native retrieval converging on filesystem primitives over embedding search. 460x faster, zero marginal cost. Endorsed by Jerry Liu (LlamaIndex founder)."
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proposed_by: "Leo (research batch routing)"
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format: essay
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status: processed
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processed_by: rio
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processed_date: 2026-04-05
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claims_extracted:
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- "agent-native retrieval converges on filesystem abstractions over embedding search because grep cat ls and find are all an agent needs to navigate structured knowledge"
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enrichments: []
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---
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# Mintlify ChromaFS
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Replaced RAG with virtual filesystem mapping UNIX commands to Chroma DB queries via just-bash (Vercel Labs). P90 boot: 46s → 100ms (460x). Marginal cost: $0.0137/conv → $0. 30K+ conversations/day. Coarse-then-fine grep optimization. Read-only enforcement (EROFS). Jerry Liu (LlamaIndex) endorsed. Key quote: "agents are converging on filesystems as their primary interface because grep, cat, ls, and find are all an agent needs."
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