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AI video editor Moovi built in 3 days uses FalkorDB graph for decision tracking

A team of four developers, Ishaan, Krishna, Srujana Medithi, and another researcher, built an AI video editor called Moovi in just three days. Moovi takes a raw video clip and automatically produces a finished vertical video with cuts, captions, sound, and effects. The core innovation is its use of FalkorDB as a graph database to store every decision and its reasoning, allowing users to query why specific edits were made. The system employs a crew of specialized agents, including an editor, researcher, writer, and sound designer, who collaborate through a graph-based task board. AI

IMPACT Demonstrates a novel approach to AI agent memory and decision-making using graph databases for video editing.

RANK_REASON This is a product built by a small team using existing infrastructure, not a frontier release or significant industry move.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI video editor Moovi built in 3 days uses FalkorDB graph for decision tracking

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10 / 100
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Tool
This is a product built by a small team using existing infrastructure, not a frontier release or significant industry move.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Ishaan Gupta ·

    Moovi: 700+ commits, 3 days, one FalkorDB graph

    <p><em>Built for Graph Hacks: Context for AI Agents, by WeMakeDevs x FalkorDB. Tracks: Track 01, Agents That Act on Connected Data, and Track 02, Agent Memory and Coordination.</em></p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2…