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Google's A2A Protocol Explained Simply
Imagine if every app on your phone spoke a different language. Your calendar couldn't talk to your email, your maps couldn't share directions with your ride-hailing app, and nothing would work together. That's how AI agents often behave today—powerful but stuck in silos.
Google's new A2A protocol changes this by giving agents a shared language, similar to MCP. Instead of building custom “bridges” each time two AI systems need to work together, A2A defines clear rules so they can discover each other, share tasks, and exchange results.
Agent Cards vs Genes
Agents describe themselves through Agent Cards—like business cards for AI—that list what they can do. If one agent needs help, it can quickly scan these cards, find a match, and hand over the job. Because everything runs on familiar web tech, A2A ensures the process is secure, reliable, and fast.
But here's the catch: a protocol alone doesn't give you useful capabilities. That's where Feluda.ai comes in.
Feluda publishes Genes—modular AI skills that act like ready-to-use Agent Cards.
Instead of starting from scratch, developers and organizations can plug Feluda Genes into their A2A ecosystem to give agents instant abilities (e.g., threat intelligence, compliance checks, report generation).
A2A + Feluda: How They Work Together
| Aspect | A2A Protocol | Feluda Genes |
|---|---|---|
| Purpose | Provides a shared communication standard for AI agents. | Provides ready-made AI capabilities that agents can instantly use. |
| Key Mechanism | Agent Cards (self-descriptions). | Genes (modular skills packaged for reuse). |
| Focus | Interoperability & discovery. | Practical functionality & applied intelligence. |
| Value to Developers | No need to build custom bridges between agents. | No need to reinvent tasks—just install a Gene. |
| Value to Enterprises | Ensures agents from different vendors can collaborate securely. | Acts as an AI App Store: plug in Genes for security, compliance, reporting, etc. |
| Analogy | The “language” agents use to talk. | The “apps” they download to get things done. |
Feluda acts like an App Store for A2A: a growing library of capabilities that any compliant agent can discover and use.
The result? A2A provides the language, and Feluda provides the skills. Together, they move AI collaboration from abstract standards into practical, everyday power—where your agents don't just talk, they get real work done.