Enterprise-Grade Runtime Foundation for AI Agents

[n.01/04]> Cross-Border Agent Platform

From an assistant embedded in a single system, to a central orchestration platform spanning all systems: connector management, task orchestration, knowledge base, and security governance, one infrastructure covers it all.

[n.03/04]> Delivery Modes

/ Three Delivery Modes /

// 001

Independent AI assistant, use directly via Web console

Standalone

// 002

Embed into existing system UI, users stay in their familiar tools

Copilot

// 003

Central orchestration platform, unified scheduling across multiple systems and agents

Hub

[n.04/04]> Comparison

/ Where FIM One Fits /

Dynamic planning meets dynamic execution.

Dify and n8n follow 'static planning + static execution': human-designed workflows with fixed node operations. FIM One follows 'dynamic planning + dynamic execution': LLM generates execution plans at runtime, each node runs a reasoning loop, auto-correcting when goals aren't met. But with clear boundaries (max 3 re-planning rounds, token budgets, operation confirmation), more controllable than AutoGPT.

Static ExecutionDynamic Execution
Static Planning
Dify, n8n, Coze, Camunda
Dynamic Planning
FIM One, Manus, AutoGPT
Dify
Manus
Coze
FIM One
Positioning
Visual workflow
Autonomous Agent
Builder + Agent
Cross-Border Agent Platform
Planning
Human static DAG
Multi-Agent CoT
Static + Dynamic
LLM Dynamic DAG + ReAct
Cross-System
API nodes (manual)
None
Plugin marketplace
Hub Mode (N:N)
Operation Confirmation
No
No
No
Yes
Self-Hosted
Docker stack
Not supported
Coze Studio
Single process, zero deps
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Two ways to run

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