Enterprise-Grade Runtime Foundation for AI Agents
From an assistant embedded in a single system, to a central orchestration hub spanning all systems — connector management, task orchestration, knowledge base, and security governance, one infrastructure covers it all.
Three Delivery Modes
Standalone
availableIndependent AI assistant, use directly via Web console
Copilot
availableEmbed into existing system UI, users stay in their familiar tools
Hub
availableCentral orchestration platform, unified scheduling across multiple systems and agents
Application & Interaction Layer
FIM Agent Middleware
Business Systems & Data Layer
Four Core Capabilities
Where FIM Agent Fits
Dynamic planning meets dynamic execution.
Dify and n8n follow 'static planning + static execution' — human-designed workflows with fixed node operations. FIM Agent 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.
| Dify | Manus | Coze | FIM Agent | |
|---|---|---|---|---|
| Positioning | Visual workflow | Autonomous Agent | Builder + Agent | AI Connector Hub |
| 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 |