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A2A Alternatives
Similar projects and alternatives to A2A
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goose
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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python-a2a
Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating interoperable agent ecosystems that can collaborate to solve complex problems.
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re-txt
converts text-formats from one to another, it is very useful if you want to re-format a json file to yaml, toml to yaml, csv to yaml, ... etc
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
A2A discussion
A2A reviews and mentions
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Awesome A2A Directory
📦 GitHub: github.com/google/A2A
- Google A2A: API Framework for AI Assistants
- Google launches (horribly named) A2A for AI to AI integration
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Agent-to-Agent (A2A) Protocol: A Comprehensive Beginner's Guide
# Step 1: Create a dedicated workspace python -m venv a2a-workshop source a2a-workshop/bin/activate # On Windows: a2a-workshop\Scripts\activate # Step 2: Install your tools pip install fastapi uvicorn requests uuid sseclient-py # Step 3: Get reference materials (optional but helpful) git clone https://github.com/google/A2A.git
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A2A Protocol Simply Explained: Here are 3 key differences to MCP!
That's exactly what Google is aiming for with their new Agent-to-Agent (A2A) protocol, released on April 9, 2025. Instead of each AI assistant being a lone worker, A2A turns them into team players. Your research assistant could seamlessly pass findings to your writing assistant, or your travel planner could check with your finance assistant to ensure hotel options fit your budget—all without you having to play middleman. The developer community is clearly excited—over 7,000 GitHub stars in just days after launch says it all. But this isn't the first attempt at getting AI systems to work together. Anthropic introduced their Model Context Protocol (MCP) with similar goals not long ago.
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In-depth Research Report on Google Agent2Agent (A2A) Protocol
Google Open Source Project, Agent2Agent Protocol – README
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We Called It: How Our 2024 Agent Communication Proposal Mirrors Google's A2A Protocol
With the announcement of Agent2Agent (A2A), Google and several partners introduced a specification aiming to solve the very same problem. You can view the current A2A JSON schema here.
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The Agent2Agent Protocol (A2A)
(I work on a2a)
Thank you for the feedback? Would you consider writing up an issue on our github with some more specifics? https://github.com/google/a2a
A2A is being developed in the open with the community. You are finding some early details that we are looking into and will be addressing. We have many partners who will be contributing and want this to be a truly open, collaborative endeavor. We acknowledge this is a little different than dropping a polished '1.0' version in github on day 1. But that is intentional :)
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A note from our sponsor - InfluxDB
influxdata.com | 19 Apr 2025
Stats
google/A2A is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of A2A is Python.