cascadeflow

by lemony-ai · Agent Tool · ★ 1.8k

About cascadeflow

Agent Runtime Intelligence Layer [![Tests](https://g

agentaianthropicapibudgetsclaudecost-optimizationcost-transparencygoogle-adkgpt

Quick Facts

Stars1,774
Forks434
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score49.046/100
Open Issues4
Last Updated2026-05-16
Created2025-10-24
Platformsclaude-code, python
Est. Tokens~2160k

Compatible Skills

These tools work well together with cascadeflow for enhanced workflows:

  • claude-api-cost-optimization — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • NadirClaw — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • llm-use — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • mate — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • prompt-refiner — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is cascadeflow?

cascadeflow is Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.. It is categorized as a Agent Tool with 1.8k GitHub stars.

What programming language is cascadeflow written in?

cascadeflow is primarily written in Python. It covers topics such as agent, ai, anthropic.

How do I install or use cascadeflow?

You can find installation instructions and usage details in the cascadeflow GitHub repository at github.com/lemony-ai/cascadeflow. The project has 1.8k stars and 434 forks, indicating an active community.

What license does cascadeflow use?

cascadeflow is released under the MIT license, making it free to use and modify according to the license terms.

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