OpenMontage: World's first open-source, agentic video production system

by calesthio · Agent Tool · ★ 76.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Video Editing & Remotion Skills

How to install OpenMontage

git clone https://github.com/calesthio/OpenMontage.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 16 tools we ran end to end on the same task for our Claude Video Editing & Remotion Skills page (2026-10-11).

Result: Runs a whole production pipeline and still needed no paid model for this brief; bold colour blocks. · made the 15-second test film in 8.6 min · all four checks passed · no sound · a look of its own

Watch it and see the frames → · See the whole test →

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Quick Facts

Stars76,103
Forks10,087
LanguagePython
CategoryAgent Tool
LicenseAGPL-3.0
Quality Score67/100
Open Issues438
Last Updated2026-11-03
Created2026-03-29
Platformsclaude-code, python
Est. Tokens~21k

About OpenMontage

OpenMontage The first open-source, agentic video production system. Paste A Video  ·  Quick Start  ·  Try These Prompts  ·  Pipelines  ·  How It Works  ·  Providers  ·  Agent Guide Follow The Build Turn your AI coding assistant into a full video producti

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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