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Agent Architecture

Agents on Texor.Cloud are built on a modular architecture designed for flexibility, reusability, and composability. Instead of rigid templates or single-use flows, each agent is structured as a set of independent but connected logic blocks that work together based on your defined inputs and logic.

This structure is what allows Texor.Cloud agents to scale across different use cases without needing to rewrite or rebuild from scratch.

Modular by Design

Every agent is constructed using blocks. Each block performs a specific task, whether it’s fetching data, running a condition, interacting with a model, or triggering an external action.

Blocks are not hardcoded to a single workflow. You can swap them, reuse them, or move them across agents. This makes agent development faster and far more adaptable than traditional automation tools.


Stateless Execution with Scoped Context

Agents are designed to run statelessly. They do not rely on persistent memory between runs unless explicitly configured. Each time an agent runs, it receives only the data and context it needs for that specific execution.

This keeps performance consistent, execution clean, and debugging straightforward.


Composable Logic

You are not building linear sequences. You are composing logic. Agents can include multiple branches, conditions, and fallback paths. This allows for dynamic decisions based on real-time data or AI model outputs without writing conditional code.


Separation of Input, Logic, and Action

A key part of Texor.Cloud’s architecture is the separation between what triggers the agent, how it thinks, and what it does. This makes it easy to reuse logic across agents, swap out triggers, or change outputs without rebuilding the full flow.

For example, the same logic can be used with a Telegram alert in one agent and a smart contract execution in another.


Built for Reuse and Scaling

Texor.Cloud agents are not locked to specific tools or narrow use cases. Once built, an agent can be duplicated, adapted, and extended to fit new contexts. This makes the system suitable for solo builders, teams, and even institutional-scale workflows.

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