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catlog22

maestro-flow

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more.

AI EngineeringGive agent knowledgeBuild agent workflow (SDK)TypeScript
Open on GitHub
Momentum
+0stars in 24 hours0.0%
566
Stars
68
Forks
+2
This week
7
Contributors
Created 2026-03-17 · Updated 2026-10-15 · #16900 today
Top developers
catlog22KatouRyuujiqinsehm1128

catlog22/maestro-flow is ranked 16,900 with 566 stars.

Same-category comparison

catlog22/maestro-flow is ranked 16,900 among these 8 peers; agentic-in/inferoa is ranked 16,898.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageTypeScript
CategoryAI Engineering
SubcategoryGive agent knowledge, Build agent workflow (SDK)
KeywordsAgent-ready APIs, Automation, Knowledge base, MCP
Stars566
Forks68
Contributors7
Created date2026-03-17
Updated date2026-10-15
Stars in 1 day0
Stars in 7 days2
Rank16,900
Previous rank16,693
Rank change-207
7-day stars rank8,808
Previous 7-day stars rank8,857
7-day stars rank change49
Total stars rank17,579
Previous total stars rank17,551
Total stars rank change-28
CountryChina
Frequently asked questions

How many stars and forks are recorded?

catlog22/maestro-flow has 566 stars and 68 forks.

What is the repository rank?

catlog22/maestro-flow is ranked 16,900.

What language and category are recorded?

catlog22/maestro-flow has 566 stars, uses TypeScript and belongs to AI Engineering.

Which repository is closest in rank?

catlog22/maestro-flow is compared with agentic-in/inferoa, ranked 16,898 with 566 stars.

Nearby in the ranking
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