vakra

About vakra

A Benchmark for Evaluating Multi-Hop, Multi-Source Tool-Calling in AI Agents

Quick Facts

Stars	61
Forks	4
Language	Python
Category	Agent Tool
Quality Score	27.75/100
Open Issues	6
Last Updated	2026-05-21
Created	2026-02-25
Platforms	python
Est. Tokens	~665k

Compatible Skills

These tools work well together with vakra for enhanced workflows:

ToolRegistry — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
MCPToolBenchPP — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
observee — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is vakra?

vakra is A Benchmark for Evaluating Multi-Hop, Multi-Source Tool-Calling in AI Agents. It is categorized as a Agent Tool with 61 GitHub stars.

What programming language is vakra written in?

vakra is primarily written in Python.

How do I install or use vakra?

You can find installation instructions and usage details in the vakra GitHub repository at github.com/IBM/vakra. The project has 61 stars and 4 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools