Summary

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Foundation YearN/A
Country🏴󠁧󠁢󠁥󠁮󠁧󠁿 England
FoundersNo founders listed
TierPaid Only
PlatformsAPI, Web Browsers
AI FeaturesAI Agent, AI Analytics, AI and automation, AI Workflow Integration, API, Natural Language Understanding (NLU)
Pricing FromN/A
SupportYes (Email)
Best Used ForAI Agent and Automation
Affiliate ProgramNo
White LabelNo
APIYes

Description

AgentFlow is an AI-agent and automation tool that aims to make complex, multi-step work much easier by using intelligent agents and workflow orchestration. It’s built around a design where small, specialized agents (for planning, executing, verifying, generating, etc.) collaborate like a team of mini-AI “workers” to handle tasks that involve reasoning, tool-use, and decision-making. What makes AgentFlow interesting: it supports multi-agent orchestration (so different agents handle different parts of a task), lets agents use external tools and data, and can manage complex workflows (not just simple question answer).

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

Free Tier

No free plan/trial available for AgentFlow
Paid Plans
Plan
AgentFlow did not provided any information about their pricing plans, To know more contact AgentFlow.
Refund Policy
AgentFlow provides refund within 10 days of the subscription purchase.

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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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