Agent Fabric

Orchestrate intelligent,
multi-agent systems

A unified coordination layer where AI agents are discovered, orchestrated, governed, and observed — the central nervous system for your enterprise AI ecosystem.

Agent Registry
Agent Broker
Agent Governance
Agent Visualizer

Core Components

Discover, orchestrate, govern, and observe

Agent Registry

A centralized registry makes every agent, MCP server, and tool in your organization discoverable. Reuse existing assets instead of reinventing the wheel.

Agent Broker

An intelligent broker routes tasks to the best-suited agent or tool, orchestrating complex workflows and ensuring business goals are achieved efficiently.

Agent Visualizer

Real-time visibility into agent interactions, performance, and dependencies — helping teams understand and optimize their agent ecosystem.

A2A Protocol

A new era of
agent interoperability.

FlowGenX AI implements the A2A (Agent-to-Agent) protocol — an open standard for agent interoperability. Agents discover each other via Agent Cards, exchange tasks and artifacts, and collaborate across vendors and frameworks.

  • Agent Cards for capability discovery — agents advertise what they can do
  • Task lifecycle management with support for long-running operations
  • Multi-modal support — text, audio, video, and structured artifacts
  • Built on HTTP, SSE, and JSON-RPC 2.0 — works with existing infrastructure
  • Complements MCP — A2A for agent-to-agent, MCP for tools and context
Agent CardsOpen StandardMulti-modalSSE StreamingInteroperable
Client Agent
Formulates tasks
A2A Protocol
Tasks, Messages & Artifacts
HTTPJSON-RPC 2.0SSE
Remote Agent
Acts on tasks
Key Capabilities
Capability Discovery
Agent Cards
Task Management
Lifecycle & state
Secure Collaboration
Auth & access
Multi-modal
Text, audio, video

Client and Remote agents exchange tasks and artifacts via the A2A protocol

Agent Topologies

Sequential, parallel, or hierarchical — your choice

Planner
Researcher
Writer
Reviewer

Sequential

Agents execute in a defined chain. Each agent receives the output of the previous one — perfect for staged pipelines.

Orchestrator
Agent A
Agent B
Agent C

Parallel

Multiple agents run simultaneously on different sub-tasks. Results are merged by an orchestrator when all complete.

Supervisor
Sub-agent 1
Sub-agent 2

Hierarchical

A supervisor agent delegates to specialist sub-agents, which may themselves spawn further agents for complex tasks.

Agent Playground

Test agent reasoning interactively

Agent Playground
Model: GPT-4oReady
Analyze last week's sales pipeline and flag at-risk deals
Thinking
🔍 Fetching CRM data via Salesforce MCP…
📊 Analysing 48 open opportunities…
⚠️ 7 deals with no activity for 14+ days
3 critical: Combined value $320K — recommending immediate follow-up actions.
Ask the agent anything…

Capabilities

Everything you need to build production agents

Agent Governance

Enterprise-grade security, access control, and policy enforcement across all agents.

Model Agnostic

GPT-4, Claude, Gemini, Llama, and custom fine-tuned models.

Agent Playground

Test agent reasoning and tool calling interactively.

A2A Protocol

Agent-to-agent communication for seamless collaboration.

Tool Calling

Native function calling across all major model providers.

Agent Memory

Short-term context and long-term memory scopes per agent.

From agent sprawl to agent control

Orchestrate intelligent,
multi-agent systems at scale.

See how FlowGenX AI agents reason, delegate, and coordinate — live demo tailored to your use case.

Where Agents, Workflows, and Integrations Converge

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All Systems Operational