​

MeshAgent

MeshAgent is the application platform built for agentic AI from the ground up. It gives teams one place to build, deploy, and operate production AI applications collaboratively, securely, and at any scale. MeshAgent removes the infrastructure headaches of real-time, multi-player agent collaboration by provisioning secure Rooms prewired with storage, database access, authentication, and more so humans, agents, and tools can collaborate in real time over shared context. Paired with a developer-friendly SDK, a browser-based Studio, and a fully-managed Cloud service (MeshAgent Server), MeshAgent lets you ship production agent apps faster with governance and visibility built-in.

​

Why MeshAgent in 30 seconds

• Not another agent framework — a complete platform: Build complete applications, not just agents. MeshAgent provides the runtime, deployment system, scaling infrastructure, and control plane you need for production.
• Multi-player by design: Real AI applications need humans and agents working as a team, not isolated bots. Rooms let multiple people and agents share context, coordinate work, and hand off tasks seamlessly.
• Everything you need, out of the box: MeshAgent provides built-in APIs for everything agents need to run, including database access, storage, messaging, queues, containers, and secrets, so you can concentrate on creating valuable agents instead of wiring infrastructure.
• Operate with confidence: Built-in tracing, cost breakdowns, and granular permissions give you complete visibility and control over your AI applications.

​

Core Components

​

The MeshAgent Difference

Agent frameworks help you prototype agents quickly, but leave you to figure out:

• How to scale beyond your laptop
• Where to store data and files
• How to deploy and version agents
• How to track costs and debug issues
• How to connect multiple agents and human participants as a collaborative team

MeshAgent gives you everything in one place: Rooms are secure, on-demand workspaces that spin up when the first participant joins and retire automatically when the last leaves. Within a Room you can:

• Register agents (chat, voice, task/background) and tools (built-in, custom, or MCP)
• Use built-in APIs: database, storage, messaging, queues, secrets, services/containers
• Invite teammates to collaborate in real-time from Studio or your app
• Observe every message, tool call, latency, and cost with streaming logs & traces

Plus:

• Agent templates: Pre-built conversational or single-turn worker agents (or bring existing agents from your framework of choice)
• Easy deployment: Package and deploy agents, tools, or any code as a service (project-wide or room-specific)
• Governance controls: Granular permissions for every participant and service
• Multi-language support: Python, JavaScript/TypeScript, Dart, .NET are all supported so you can build in your language of choice and support multi-language applications with ease.

​

Why Teams Choose MeshAgent

MeshAgent handles the complex infrastructure of running collaborative AI agents, so your teams can focus on building solutions that grow your business.

​

Collaborate in Secure Rooms

The problem: Building collaborative AI apps requires more than just agents! These apps need databases, file storage, authentication, real-time sync, message queues, and more, but these features are usually stitched together across many services. MeshAgent’s solution: Rooms are secure, on‑demand workspaces where people, agents, and tools share context. Each Room includes built‑in APIs:

• Database API — Store and query structured data
• Storage API — File upload, download, and management
• Messaging API — Real-time chat between humans and agents
• Queues API — Async task distribution and agent coordination
• Secrets API — Secure credential and OAuth token management
• Sync API — Real-time collaborative document editing
• Agents API — Invoke agents and tools programmatically
• Containers API — Run ad-hoc code execution on demand

Rooms automatically provision when the first participant joins, retire when the last one leaves, and scale as demand changes.

​

Accelerate Time to Value

The problem: Slow feedback loops hinder agent and application development. Testing agents often requires technical setup, and sharing progress with non-technical stakeholders is challenging without giving them an actual application to use. MeshAgent’s solution: MeshAgent Studio brings everyone together for real-time collaboration:

• Spin up a Room in MeshAgent Studio and invite teammates
• Test agents instantly in any browser — no code checkouts, IDEs, or local setup required
• Iterate in parallel - engineers can update logic on the fly as stakeholders interact with an agent. At the same time, front-end teams can focus on building the UI for your agent app
• Deploy as a project or room service when ready and invite teammates back to your session

​

Treat Agents as Team Members

The problem: Most platforms treat agents differently from humans, forcing teams to maintain separate stacks and duplicate features across both. MeshAgent’s solution: Agents are first-class participants in Rooms, just like humans:

• Same permission model (API Scopes work for both)
• Seamless communication patterns (messaging, document sync)
• Same observability (track agent and human actions, tool calls, etc.)
• Seamless handoffs between humans and agents

​

Package and Deploy Services Easily

The problem: Teams need an easy way to move from prototype to production without rewriting agent, tool, or service logic. MeshAgent’s solution: Services make it easy to package agents, tools, or external connections quickly

• Test locally first — Use ServiceHost and the MeshAgent CLI to run your service in a Room locally before deploying
• Built-in integrations — Native support for MCP Servers and OpenAI Connectors, plus prebuilt toolkits for common tasks
• Flexible deployment — Deploy as a project service (available to all Rooms) or room service (scoped to specific rooms)

​

Enterprise Grade Governance

The problem: Production AI apps needs fine-grained access controls defining who can join which rooms and what operations they can perform. MeshAgent’s solution: Built-in permission system at every level:

• Room access control — Define who can join which rooms
• Participant permissions (API Scopes) — Lock down what operations humans/agents can perform (e.g., can read storage but not write)
• Service permissions — Control what deployed services can access (e.g., agent can use storage but not containers)
• Project vs. Room scoping — expose services broadly or to specific Rooms

​

Enterprise Grade Observability & Cost Management

The problem: Debugging agents requires tracking prompts, tool calls, latency, errors, and costs across distributed systems. MeshAgent’s solution: Streaming logs and OpenTelemetry traces capture everything automatically and roll up to project-level insights:

• Automatically record every prompt, tool call, and result
• Latency histograms and real-time error tracking
• Per-agent cost attribution
• Usage and billing views break down minutes and credits by project, Room, provider, and agent

No middleware to configure — just open MeshAgent Studio and see what’s happening.

​

Works with Your Stack

The Problem: AI apps often require multiple languages and runtimes to support different use cases and team expertise. Plus, you may have agents built using many different frameworks. MeshAgent’s Solution:

• Official SDKs for Python, JavaScript/TypeScript, Dart, and .NET expose the same MeshAgent feature set (Rooms, Agents, Tools, Messaging, Queues, Storage, Documents, etc.)
• Interactive UX built-in — Human approval steps, progress bars, and device-side actions are first-class citizens, not afterthought hooks
• Cross-language collaboration — A TypeScript UI, Python agent, and Go service work together in one Room with no custom adapters
• Bring your existing agents — Use agents from Pydantic AI, CrewAI, etc. alongside MeshAgent’s built-in agents

​

Next Steps

• Getting Started: Install MeshAgent, connect to your first room, and run your first agent.
• Key Concepts: Learn how Rooms, Agents, and Tools fit together
• Explore the examples: Browse or clone our agent examples to kickstart your agent projects.