Overview

GLIK is a modular orchestration platform designed to support enterprise-grade agent applications, decision workflows, and memory-aware automation. At the core of GLIK is an execution engine that coordinates nodes — known as blocks in the visual studio — to process structured input, route decisions, and invoke tools or AI models.

This section introduces the foundational architecture of GLIK, enabling both enterprise leaders and developer teams to understand how agent workflows are composed, executed, and audited across environments.

GLIK’s modular architecture: all app types (Workflow, Agent, Advanced Chat, Chatbot) inherit from a shared orchestration foundation. Each app is built from logic blocks (LLM, Policy, Variable Assigner), connected to memory via Knowledge Blocks. This structure enables scalable, reusable AI agents across enterprise systems.

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What This Architecture Enables

GLIK's system design provides a reliable and extensible foundation for:

• Operationalizing business logic via reusable orchestration templates

• Embedding decision automation into existing enterprise systems

• Ensuring traceability and compliance through memory, logging, and fallback systems

• Scaling across environments — whether cloud-hosted or deployed via Open Core

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Core Architectural Concepts

1. Blocks & Nodes

The system is built on modular execution units:

• Blocks are visual elements used to build workflows in the GLIK Cloud Studio.

• Nodes are the runtime equivalents that execute in a directed flow graph. Each node processes input, applies logic, and passes structured output downstream.

2. Execution Model

The execution engine processes flows deterministically:

• Resolves scoped inputs and memory

• Executes each node in sequence (with conditional branching support)

• Handles fallback or escalation paths based on runtime outcomes

3. Memory & Variable Scope

GLIK provides a structured memory model:

• Memory objects can be scoped to User, App, or Org

• Variables persist across nodes and sessions when needed

• Used for context injection, audit logging, and agent continuity

4. Decision Routing

Policy automation and logic branching are handled through a combination of:

• Conditional blocks (e.g., IF/ELSE)

• LLM-driven classifiers

• Escalation nodes that reroute uncertain decisions to humans or fallback paths

5. System Observability

GLIK supports operational monitoring and traceability through:

• Execution logs and visual traces

• Save points, snapshots, and output inspection

• Optional memory audit trails

📣 Try GLIK

Explore and deploy your first app at app.glik.ai

Cloud + Open Core Parity

The orchestration model remains consistent whether running in GLIK Cloud or deploying via Open Core. Execution patterns, node types, and memory constructs are designed for deployment-agnostic continuity, enabling secure adoption in both managed and self-hosted environments.

For Open Core specifics, see: GLIK Open Core Deployment & CLI Reference

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Audience & Use

This section serves both:

• Enterprise solution teams evaluating architecture alignment, integration paths, and risk frameworks

• Technical implementers and developers designing, customizing, or extending orchestration flows in production environments