Product
How AgentGlob Works.
A technical overview of the agent runtime, workspace model, channel integrations, and deployment architecture that powers AgentGlob.
01
Agent Runtime Architecture
AgentGlob is built on a structured agent runtime that manages the full lifecycle of each agent — from initialization and task assignment through execution, tool calls, and response generation. The runtime enforces role boundaries, handles retries, and manages state across multi-step tasks.
Key Properties
- Stateful task execution with configurable memory scopes
- Structured output validation before action execution
- Retry logic with exponential backoff and failure escalation
- Built on a powerful open agent runtime with production hardening
02
Agent Role Definition
Each agent in a workspace is defined by a role specification — a structured configuration that determines the agent's purpose, available tools, communication scope, and behavioral constraints. Roles are versioned and auditable.
Key Properties
- Role-scoped tool access and API permissions
- Behavioral constraints enforced at the runtime level
- Role versioning with rollback capability
- Inheritance model for shared role configurations
03
Inter-Agent Communication
Agents within a workspace can delegate tasks, share context, and coordinate execution through a structured inter-agent messaging protocol. Communication is logged, auditable, and subject to operator-defined routing policies.
Key Properties
- Structured task delegation with typed payloads
- Context propagation across agent handoffs
- Routing policies configurable per workspace
- Full audit trail for all inter-agent messages
04
Channel Integration Layer
AgentGlob connects to communication platforms through a normalized channel integration layer. Each channel adapter handles authentication, message formatting, and event routing — presenting a consistent interface to the agent runtime regardless of the underlying platform.
Key Properties
- Supported: Slack, WhatsApp, Telegram, Microsoft Teams
- Normalized event model across all channel types
- Channel-specific formatting and media handling
- Webhook and polling support per channel requirements
05
Tool Execution Framework
Agents execute actions through a typed tool framework. Each tool is defined with an input schema, output schema, and execution handler. Tools can call external APIs, query databases, trigger webhooks, or interact with internal services.
Key Properties
- OpenAPI-compatible tool definitions
- Input/output validation at execution boundaries
- Timeout and rate limit enforcement per tool
- Tool execution sandboxing for security isolation
06
Workspace Isolation Model
Every AgentGlob workspace is a fully isolated execution environment. Data, agent configurations, tool credentials, and communication histories are never shared across workspace boundaries. Isolation is enforced at the infrastructure level.
Key Properties
- Separate data stores per workspace
- Isolated credential management and secret storage
- Network-level isolation for private deployments
- Cross-workspace communication explicitly disabled by default
07
Deployment Options
AgentGlob supports two primary deployment models: fully managed cloud hosting and private deployment within your own infrastructure. Both models use the same agent runtime and feature set.
Key Properties
- Managed Cloud: zero-infrastructure deployment with automatic scaling
- Private Cloud: deploy to AWS, GCP, Azure, or on-premise
- Hybrid: managed control plane with private data plane
- Migration path available between deployment models