What is A2A-Chat?

47/100
Trust Score (D)
⚠️ Use Caution

A2A-Chat is a communication that A chatbot based on the Agent 2 Agent protocol, which can assign tasks to external Agents through dialogue and obtain results. 一个基于 Agent 2 Agent 协议的聊天应用,可以通过对话方式给外部 Agent 下发任务,并获取结果. It has a Nerq Trust Score of 47/100 (D). 22 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

47
TRUST SCORE
D
GRADE
22
STARS
0
DOWNLOADS

What A2A-Chat Does

A2A-Chat is a agent in the communication category. A chatbot based on the Agent 2 Agent protocol, which can assign tasks to external Agents through dialogue and obtain results. 一个基于 Agent 2 Agent 协议的聊天应用,可以通过对话方式给外部 Agent 下发任务,并获取结果. It is published by an independent developer and has no specified license. With 22 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use A2A-Chat

A2A-Chat is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categorycommunication
LicenseNot specified
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=hivenexus-a2a-chat

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

Safer Alternatives

ToolTrustStars
Real-Time-Voice-Cloning5759.4K
ChatGPT5954.4K
jan6440.5K
ChatTTS6338.7K
chatbox6438.6K

Frequently Asked Questions

What is A2A-Chat used for?
A2A-Chat is a communication tool. A chatbot based on the Agent 2 Agent protocol, which can assign tasks to external Agents through dialogue and obtain results. 一个基于 Agent 2 Agent 协议的聊天应用,可以通过对话方式给外部 Agent 下发任务,并获取结果.
Is A2A-Chat free?
License: Check project page. A2A-Chat has 22 GitHub stars.
Is A2A-Chat safe?
A2A-Chat has a Nerq Trust Score of 47/100 (D). Evaluate carefully.
What are alternatives to A2A-Chat?
Top alternatives: Real-Time-Voice-Cloning, ChatGPT, jan. See full comparison.

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

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