Coral OS
@CoralOS_ai
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coralOS is the platform for orchestrating, deploying, and governing safe agentic systems at enterprise scale.
Joined February 2025
The Internet of Agents Hackathon proved what's possible with Coral v1. 3,000+ devs built 130+ apps using reusable AI agents on our Solana-powered infra & won $100k in prizes. Big thanks to @solana @MistralAI @lovable @crossmint @aimlapi @elevenlabsio @nebiusai. Recap 🧵 ⬇️
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Build a great agent. Let the network pay you for it. Coral's marketplace turns specialised agents into live services. Deployed once, accessible to anyone on-demand, earning revenue every time they're called. If your agent does something well, every multi-agent system on the
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Building multi-agent systems shouldn't mean building every agent from scratch. The CoralOS Marketplace is a network of specialised agents, each one built to do a specific job well, and each one interoperable with every other agent on the network, regardless of framework or
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What would normally take weeks, CoralOS lets you do in days. Save time. Reduce costs. Remove friction. CoralOS is the most practical and secure way to add agency to software.
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Security isn't optional when agents handle value, decisions, and business-critical coordination. Independent evaluation (Ariel University, arXiv Nov 2025) compared A2A, ACP and CoralOS on architecture + empirical exposure. Let's recap Coral's security breakthroughs and
arxiv.org
Multi-agent systems (MAS) powered by artificial intelligence (AI) are increasingly foundational to complex, distributed workflows. Yet, the security of their underlying communication protocols...
Security is becoming the defining layer of the agent economy. A recent independent research paper compared A2A, ACP, and CORAL. The independent analysis describes Coral as “the most forward-looking architectural blueprint among agentic AI protocols.” 🧵 ⬇️
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Most teams building with AI agents hit the same wall. Not the models, but everything around them. You pick a framework and immediately inherit its limitations. Your agents can't talk to agents built on anything else. Deployment means hand-rolling lifecycle management that
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Our mission stays the same: We aim to unlock the full potential of Agentic AI for everyone, everywhere, without sacrificing safety. CoralOS is simply the truest expression of that mission today. We’re excited for what comes next.
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That’s why we’re evolving from Coral Protocol to coralOS. coralOS reflects what the product has become: A platform for orchestrating, deploying, and governing safe agentic systems at enterprise scale.
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This extends into our cloud offering, where teams can run agents with production-grade safety, monitoring, and governance. For those who want full control, the same capabilities are available through our open-source Coral server. Self-host with the same architectural guarantees.
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Beyond orchestration, we’re building the infrastructure that makes agentic systems usable by everyone. An Agent Marketplace where anyone can run agents at scale, safely and reliably. A place where developers can publish, discover, and deploy agents with built-in guarantees
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As the ecosystem matured, so did we. Teams are doing more than experimenting these days, they’re deploying agentic systems into production. They’re asking hard questions about governance, reliability, observability, and control. They’re thinking at enterprise scale. And that’s
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Their assessment was clear. While the current ecosystem remains largely insecure, CORAL paves a clear path forward compared to alternatives like Google A2A and ACP.
Security is becoming the defining layer of the agent economy. A recent independent research paper compared A2A, ACP, and CORAL. The independent analysis describes Coral as “the most forward-looking architectural blueprint among agentic AI protocols.” 🧵 ⬇️
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But one thing never changed: safety was always top of mind. When researchers at Ariel University evaluated the security of agent-to-agent communication protocols, they concluded that CORAL "stands out as the most promising architectural foundation", citing its integrated
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When we started Coral Protocol, agentic AI was still early. Orchestration patterns were experimental. We were focused on pioneering how agents could coordinate, reason, and act together in the real world. That work paid off. We topped the GAIA benchmark using only small models.
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We're evolving from Coral Protocol ��� coralOS. Let’s unpack. 🧵
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Learn how specialised single agents can be orchestrated for practical applications. Each of the agents we've covered so far, including the GitHub MCP agent, search agent, and image generator work together to produce written content from any codebase.
Building agents that automatically create how-to blog posts for any code we ship via @Coral_Protocol
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A great example of what we mean by single agents as specialised capabilities is our PaperSearch agent. This agent's sole focus is handling search, retrieval, and storage of academic papers. Available for multi-agent applications to access on demand.
Building multi-agent systems allows you to think of single agents as capabilities that can be improved, swapped out, or removed to suit the needs of your application.
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Building multi-agent systems allows you to think of single agents as capabilities that can be improved, swapped out, or removed to suit the needs of your application.
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