What is semantic-kernel-agent-a2a-protocol-example?

61/100
Trust Score (C)
⚠️ Use Caution

semantic-kernel-agent-a2a-protocol-example is a coding that Demonstrates interaction between autonomous agents using Semantic Kernel and a2a-dotnet SDK.. It has a Nerq Trust Score of 61/100 (C). 2 GitHub stars. Published by Jordiag. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

61
TRUST SCORE
C
GRADE
2
STARS
0
DOWNLOADS

What semantic-kernel-agent-a2a-protocol-example Does

semantic-kernel-agent-a2a-protocol-example is a agent in the coding category. Demonstrates interaction between autonomous agents using Semantic Kernel and a2a-dotnet SDK.. It is published by Jordiag and is open source. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use semantic-kernel-agent-a2a-protocol-example

semantic-kernel-agent-a2a-protocol-example is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorJordiag
Categorycoding
LicenseMIT
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=semantic-kernel-agent-a2a-protocol-example

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is semantic-kernel-agent-a2a-protocol-example used for?
semantic-kernel-agent-a2a-protocol-example is a coding tool. Demonstrates interaction between autonomous agents using Semantic Kernel and a2a-dotnet SDK..
Is semantic-kernel-agent-a2a-protocol-example free?
License: MIT. semantic-kernel-agent-a2a-protocol-example has 2 GitHub stars.
Is semantic-kernel-agent-a2a-protocol-example safe?
semantic-kernel-agent-a2a-protocol-example has a Nerq Trust Score of 61/100 (C). Use with caution.
What are alternatives to semantic-kernel-agent-a2a-protocol-example?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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