From Prompt to Production
Transform your prompts into production-ready systems with AgentMesh, the complete end-to-end solution that connects with your existing tool stack and runs securely in your infrastructure.
Processing your prompt...
Multiple Access Methods
AgentMesh Composer provides flexible access methods to fit seamlessly into your existing workflows and infrastructure.
Machine-to-Machine API
Connect directly to AgentMesh using our standardized REST API with secure authentication and rate limiting.
curl -X POST https://api.agentmesh.com/v1/compose \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Deploy a serverless function"}'Custom UI with SSE
Build your own interface using Server-Sent Events for real-time streaming of agent responses.
// Client-side JavaScript
const eventSource = new EventSource(
'/api/agent-stream?prompt=Deploy+a+serverless+function',
{ headers: { Authorization: 'Bearer $API_KEY' } }
);
eventSource.onmessage = (event) => {
console.log(JSON.parse(event.data));
};Key Features
AgentMesh Composer provides a comprehensive suite of features designed to transform how you build and deploy AI-powered systems that integrate with your existing infrastructure.
Prompt-to-Production Generation
Generate complete, production-ready systems from simple English prompts, dramatically shortening development cycles.
Connect with Anything
Seamlessly integrates with your existing tool stack using common protocols for agents and LLMs such as A2A and MCP.
Runs Anywhere
Scalable architecture runs on Kubernetes, at the edge, or on-premises - even behind your VPC.
Plug + Play Containers
Use any container in the world to add superpowers to your agents with secure, standardized REST APIs.
Enterprise-Grade Security
Connects with your identity providers to enforce security standards and create policies for tools.
Resource Graph Learning
Maintains a resource graph to learn from interactions and optimize performance over time.
AI Agent Collaboration
See how AgentMesh AI agents collaborate with each other and connect to your entire software ecosystem to orchestrate seamless workflows.
Composer
Real-World Examples
See how organizations across different industries are using AgentMesh Composer to transform their workflows.
Automated Deployment Pipeline
Industry: Software Development
A software company automated their entire CI/CD pipeline, reducing deployment time by 80% and eliminating manual errors.
Result:
AgentMesh generated a complete pipeline that integrated with GitHub Actions, ran tests, security scans, built Docker images, and deployed to Kubernetes with traffic shifting for canary releases.
Get Your Prompt Into Production
Enter your prompt, and we'll show you how AgentMesh transforms it into production-ready systems that connect with your existing tool stack.
Try one of these examples:
Enter your prompt to get it into production
We'll analyze your prompt and show you how AgentMesh transforms it into production-ready systems that run securely in your infrastructure.
Runs on Your Infrastructure
AgentMesh runs entirely within your Kubernetes cluster or infrastructure, ensuring data never leaves your environment and maintaining complete security and compliance.
No Vendor Lock-in
Complete freedom to use any LLM provider or agent framework. Switch between OpenAI, Anthropic, Ollama, or any other provider at any time without changing your workflows.
Multiple Agent Frameworks
Use any agent framework including LangGraph, AutoGen, and custom agents. Mix and match frameworks to create powerful, flexible workflows tailored to your specific needs.
Time-To-Production Is Everything 🚀
With AgentMesh, configuring and orchestrating high-impact AI Engineering Teammates (agents) takes just minutes. AI Engineering Teammates infer relationships across tools and processes and learn as they operate, allowing you to focus on innovation instead of automation.
"By pairing tools like AgentMesh, it starts solving the Paradox of Time to Automation where the unit of work of creating and automating processes goes down from ten down to one, allowing organizations to reimagine their strategy around automation."
Armon Dadgar
Co-Founder, CTO, HashiCorp