Kairo

D 55 completed
Web App
unknown / python · tiny
40
Files
17,540
LOC
2
Frameworks
8
Languages

Pipeline State

completed
Run ID
#357855
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
74.33
Framework unique
Isolation
Last stage change
2026-05-10 03:26:32
Deduplication group #62435
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility (the analyzer behind this table) · https://repobility.com

AI Prompt

Create an AI-powered tool called Kairo that takes a gaming livestream replay (via URL or file) and automatically generates viral, story-driven short videos. The system needs an ingestion pipeline using `yt-dlp` and `FFmpeg`, followed by an agent that uses MLX-VLM for multi-modal understanding (game events, emotion, chat). The core logic should involve a Deep Video Discovery agent to score and select top clips, and a Dynamic Narrative Architect to generate frame-accurate editing scripts. Finally, use an FFmpeg-based render engine to output the final `.mp4` video, all orchestrated via a FastAPI backend and a web UI.
python fastapi electron ai video-processing machine-learning gaming video-editing mlx whisper
Generated by gemma4:latest

Catalog Information

The Kairo project is an AI-powered tool for creating story-driven gaming clips.

Description

Kairo is a web application that uses artificial intelligence to create engaging gaming clips based on user-defined stories. It allows users to input their own narratives and generate visually appealing videos with accompanying audio. The project utilizes various technologies, including machine learning models and video processing algorithms, to produce high-quality output.

الوصف

هو تطبيق ويب يستخدم الذكاء الاصطناعي لإنشاء مقاطع فيديو متعلقة بالالعاب القائمة على قصص المستخدم. يسمح للمستخدمين بإدخال قصصهم الخاصة وإنشاء مقاطع فيديو جذابة مع صوت مساند. تستخدم المشروع العديد من التكنولوجيات، بما في ذلك النماذج التعلمية والخوارزميات المعالجة للفيديو، لإنتاج نتائج عالية الجودة.

Novelty

9/10

Tags

story-driven gaming-clips ai-powered video-generation narrative-based interactive-storytelling

Technologies

anthropic electron fastapi numpy openai uvicorn

Claude Models

claude-opus-4.6

Quality Score

D
55.2/100
Structure
42
Code Quality
75
Documentation
79
Testing
0
Practices
58
Security
76
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 855 duplicate lines detected \u2014 consider DRY refactoring
  • 9 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Want this analysis on your repo? https://repobility.com/scan/
UNLICENSED
License
1.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
37.5%
css
25.8%
javascript
24.5%
html
6.9%
markdown
4.3%
shell
0.8%
json
0.1%
text
0.0%

Frameworks

FastAPI Electron

Concepts (2)

Open data · scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · MCP-ready · https://repobility.com
auto_descriptionProject DescriptionAn autonomous AI agent that transforms gaming livestream replays into viral short videos with narrative depth, personalized to the streamer's style.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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