Summary
| Foundation Year | N/A |
| Country | 🏴 England |
| Founders | No founders listed |
| Tier | Paid Only |
| Platforms | API, Web Browsers |
| AI Features | AI Agent, AI Analytics, AI and automation, AI Workflow Integration, API, Natural Language Understanding (NLU) |
| Pricing From | N/A |
| Support | Yes (Email) |
| Best Used For | AI Agent and Automation |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
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Description
Features
- Modular design (Planner / Executor / Verifier / Generator)
- Multi-agent orchestration
- Tool integration / external tool & API support
- Workflow automation (end-to-end processes)
- Natural-language / low-code workflow creation (Markdown / NL)
- Configurable/customizable AI-agent creation
- Support for structured and unstructured data processing (documents, databases, etc.)
- Auditability / monitoring / execution logs & compliance support
- Explainability and confidence scoring for agent decisions
- Flexible deployment (on-premises or cloud / private infrastructure support)
Free Plan & Pricing
No free plan/trial available for AgentFlow
Refund Policy
5 Ratings
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5app.ai Rating
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AI Review
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Our Expert's Opinion
[3.5/5]
After trying AgentFlow in a test setup, I feel it shows real promise the multi-agent orchestration works fast and can handle multi-step workflows smoothly, which is great when you need to automate complex tasks end-to-end. But it’s not perfect: sometimes agents conflict or produce inconsistent results, and coordinating several agents becomes a bit confusing when things go wrong (as often happens with multi-agent systems). Also, there’s a risk of high complexity and overhead setting up, debugging and monitoring workflows takes significant effort, and small mistakes in orchestration logic can lead to big failures. For simpler tasks, a single-agent or simpler automation tool often feels more stable. Still, when used carefully and with good oversight, AgentFlow can be a powerful way to reduce repetitive manual workload and speed up complex processes.
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