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Creating an agent is a solved problem. Running it securely, collaboratively, and at scale with full visibility? That’s where it breaks.
We’ve all seen the demos. A handful of lines in a notebook, and suddenly an agent is reasoning, prompting, and even calling tools. Impressive? Sure. But real-world applications require far more than that. And if you’ve tried taking even a basic agent from prototype to production, especially in a multi-team, enterprise environments you already know the truth:
Agentic AI, as it stands, is not yet ready for the enterprise.
At MeshAgent, we’ve spent the last year laser-focused on fixing this. We’re not building yet another framework to chain calls to an LLM. We're building the infrastructure layer that enables agents to run at scale, in production, with real governance, and true collaboration across teams, agents and systems.
Let’s be real: a lot of enterprise teams have already experimented with agents. But getting from PoC to production isn’t a technology gap, it’s a systems gap. The moment you try to operationalize an agent in a real-world setting, you hit a wall.
Here are the most common pain points we’ve seen across industries:
These are not minor developer inconveniences. These are the blockers that prevent Agentic AI from becoming a truly operational capability inside the enterprise.
We built MeshAgent to be a complete runtime and infrastructure layer for collaborative, scalable AI agents. It’s designed from the ground up to abstract away the infrastructure complexity so teams can focus on building powerful agentic solution, not managing brittle code or cobbling together observability tools.
Real-Time Collaboration with Rooms MeshAgent introduces the concept of “Rooms", live, dynamic environments where people and agents collaborate in real time. A Room spins up the moment the first participant joins and can persist as long as needed, or vanish when idle. This provides seamless continuity, secure shared context, and true multi-agent-human collaboration, without handing off messy state or syncing manually.
MeshAgent Studio (Browser + CLI) Whether you're a backend engineer, a product lead, or a data scientist, MeshAgent Studio gives your team one unified place to test, prototype, and ship agents together. Think of it like a shared development studio in the cloud: low-friction, fast feedback loops, and deeply integrated with your deployment environments.
Auto-Scaling, Production-Grade Infrastructure Behind the scenes, MeshAgent runs on a fully managed backend that auto-scales compute, storage, and networking across regions. Built-in observability tools provide detailed dashboards of agent behavior, resource usage, and throughput, ensuring that whether you're running 10 agents or 10,000, everything just works.
Language-Agnostic SDKs MeshAgent supports Python, JavaScript/TypeScript, and Dart out of the box, with identical APIs for messaging, queues, observability, storage, and more. This means your team can work in the languages they already use, deploy consistently, and scale without rewrites.
Protocol Compatibility (MCP and Beyond) MeshAgent ships with over 100 MCP-compatible servers and can interoperate with other protocol standards. Our infrastructure is built to evolve, your agents won't be locked into a single ecosystem or format.
The result? You can launch, share, and operate enterprise-grade agents in hours, not weeks. You can go from concept to production with confidence. And you can scale your agent usage from a few internal users to a global customer base, without hitting breaking points in infrastructure or collaboration.
This isn’t just about technology. It’s about empowering organizations to integrate Agentic AI deeply into their workflows, without compromising on security, visibility, or speed.
We’re at a critical inflection point. Generative AI has captured executive attention, and agents are widely seen as the next big evolution. But most organizations still can’t get past the prototype stage, because they don’t have the runtime infrastructure to make agents work in production.
If you want your teams to co-create with AI agents… If you want to trace every decision and ensure compliance… If you want to go from experimentation to enterprise-wide impact…
Then you need infrastructure that was purpose-built for Agentic AI. That’s what MeshAgent is.
We’re partnering with forward-thinking teams across finance, professional services, healthcare, logistics, and enterprise SaaS, teams that see agents not just as demos, but as the next operating layer of their business.
If you’re facing the same friction, we’d love to talk. Let’s build a future where humans and agents work side by side, with the tools and trust to actually make it happen.
Learn more at www.meshagent.com
Check out the docs at docs.meshagent.com
The MeshAgent Platform is comprised of a powerful three-part system for building and running intelligent agents.
