EnvScaler

by RUC-NLPIR · Agent Tool · ★ 100

About EnvScaler

The official implementation of "EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis".

agentllmstool-use

Quick Facts

Stars100
Forks4
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score41.75/100
Open Issues1
Last Updated2026-02-12
Created2026-01-09
Platformspython
Est. Tokens~1942k

Compatible Skills

These tools work well together with EnvScaler for enhanced workflows:

  • AnyTool — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • X-Master — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
  • syftr — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • MCPToolBenchPP — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • agent-sandbox-skill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is EnvScaler?

EnvScaler is The official implementation of "EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis".. It is categorized as a Agent Tool with 100 GitHub stars.

What programming language is EnvScaler written in?

EnvScaler is primarily written in Python. It covers topics such as agent, llms, tool-use.

How do I install or use EnvScaler?

You can find installation instructions and usage details in the EnvScaler GitHub repository at github.com/RUC-NLPIR/EnvScaler. The project has 100 stars and 4 forks, indicating an active community.

What license does EnvScaler use?

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

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