Pylon · Build Environment
Pylon is where agents get built, and where they run for real
Pylon is Synthreo's agent creation and execution environment. Your technical team builds custom automations on a canvas with real debugging. Wingtip builds routine agents through the same environment programmatically, with no human in the loop. Either way, production agents run here, with version history, analytics, and rollback.
Watch Pylon in action
The Problem
Workflow builders were designed for humans only
The node-and-canvas platforms are powerful for developers who live in them, but they are slow to debug, painful to iterate on, and structurally opaque to the AI systems that increasingly need to drive them. They also share a second flaw: things work in the demo and fail in production, and the gap between the two is where the real work hides.
Pylon is a ground-up rebuild aimed at both problems: AI-native construction and production-grade reliability, in one runtime.
What It Does
A build environment both species can use
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Canvas for your team
Connect components into agent pipelines with breakpoint debugging, full payload visibility at every node, and near-instant iteration. Stop execution, inspect, resume.
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API for machines
The runtime compiles in Python and organizes around components AI models natively understand. Wingtip and external tools build, test, and deploy agents through MCP without opening the interface.
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Version history with rollback
Named versions and one-click rollback are built into the platform, so a bad change is a ten-second fix, not an incident.
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Production analytics
Run counts, trigger sources, and success rates per agent, so you can monitor deployments and show clients what their automations did this month.
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Webhooks in both directions
Inbound triggers with filtering and signing. Outbound events your RMM and monitoring stack can consume, so nobody logs in just to check on an agent.
Why It Is Different
Agents as callable services
Pylon exposes itself as an MCP server, which makes the entire build environment drivable by outside tools. Individual agents can be exposed as MCP endpoints too, turning any Pylon automation into a service other platforms can call. Your agents stop being trapped inside a builder and start being infrastructure.
The proof it holds up at scale: 1,900 production agents were migrated onto the new runtime in under 30 minutes with a 98.9% success rate, and the migration itself was AI-driven.
FAQ
Frequently asked questions about Pylon and agent building
What is an AI-native agent build environment?
One designed so AI systems, not just humans, can construct workflows. Pylon's runtime compiles in Python and organizes around components AI models natively understand, so tools like Wingtip build, test, and deploy production agents through MCP without anyone opening the interface.
How is Pylon different from workflow automation tools?
Node-and-canvas platforms were designed for human builders, with automation APIs bolted on afterward. Pylon was rebuilt from scratch for AI-native construction, multi-tenant MSP operation, and production reliability: breakpoint debugging, payload inspection, named versions with rollback, and per-agent analytics.
How do you debug an AI agent in Pylon?
With breakpoints, like code. Builders stop execution at any node, inspect the full payload, and resume. Iteration is near-instant, and every change lands in named version history with one-click rollback, so a bad deploy is a ten-second fix instead of an incident.
Can Pylon agents connect to other tools?
Yes, in both directions. Individual agents can be exposed as MCP endpoints other platforms call as services, and outbound webhooks push run events into RMM and monitoring stacks. Inbound webhooks with filtering and signing let outside systems trigger agents.
Can existing automations migrate to Pylon?
Yes. During the platform rebuild, 1,900 production agents were migrated to the new runtime in under 30 minutes with a 98.9% success rate, and the migration itself was AI-driven. Existing MSP automations are a migration project, not a rebuild.
Bring your hardest workflow
We will build it in Pylon while you watch.