What is Magent?

Magent is a modular, full-stack AI automation platform built for the age of intelligent systems. It enables organizations to build, deploy, and scale AI-powered agents capable of autonomous decision-making, adaptive behavior, and shared memory—without writing a single line of code.

Platform Definition

Magent redefines automation by introducing agents—modular, intelligent entities that operate based on goals rather than rules. These agents are not limited to single-use scenarios. They are reusable, composable, and capable of reasoning in real time.

Magent is not just a no-code platform. It is a dynamic thinking fabric for your business operations.

Modularity + No-Code + Multi-Model Support

Every component in Magent is modular: triggers, actions, models, memory modules, and logic flows. Users can mix and match these components without technical expertise. All configurations can be created in natural language, through simple prompts or visual editors.

Magent supports multiple AI models—including OpenAI, Claude, and Mistral—allowing users to select the reasoning engine that best fits their scenario.

Natural Language Driven Agent Design

Creating an agent in Magent is as simple as saying:

“When a customer submits a refund request, evaluate sentiment, flag risky cases, and respond accordingly within 10 minutes.”

This prompt alone is enough for Magent to build a logic loop, activate the right tools, and adapt actions based on outcomes. Agents can be edited with instructions like “act more conservatively” or “prioritize long-term customers” at any time.

From Workflows to Behaviors

Traditional systems are built around workflows—linear, fixed paths. Magent shifts this to behaviors—flexible, self-adjusting routines based on context and intent. Agents observe changes, update logic in real time, and reconfigure steps to maintain alignment with high-level goals.

This enables a transition from static execution to dynamic orchestration.