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iFlow CLI

iFlow CLI is a terminal-based AI agent for developers, using natural-language interaction to drive coding and related tasks while offering access to multiple models.

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Official sources

Verified: September 8, 2026

DevPrice organizes public information and does not sell iFlow CLI subscriptions. Prices and availability are determined by iFlow CLI.

What is iFlow CLI?

iFlow CLI is a terminal-based AI agent for developers, using natural-language interaction to drive coding and related tasks while offering access to multiple models. It can run interactively from a command line, connect to Visual Studio Code and its derivatives or JetBrains IDEs through dedicated plug-ins, and participate in automated workflows involving environments such as Jenkins, Jira, or a shell. More complex work can be divided among concurrent agents that retain separate contexts.

The product was intended for individual developers and engineering teams seeking AI assistance inside tools they already used, with further extension through an MCP marketplace and an agent store. Terminal use requires installation and startup, while IDE operation additionally requires the appropriate plug-in and follows editor-specific setup steps. iFlow CLI has now formally ceased service and directs existing users to migrate to Qoder, so it is no longer an ongoing online service for new development workflows.

Key features of iFlow CLI

  • Natural-language terminal

    It accepts everyday-language instructions inside a terminal and applies them to development or related tasks, with CLI installation and startup required first.

  • Multi-agent collaboration

    It decomposes complex work across concurrent specialist agents, giving each one an independent context to reduce interference between separate subtasks.

  • Development-tool integration

    Dedicated plug-ins connect it to Visual Studio Code variants and JetBrains IDEs, with separate installation and activation procedures for each environment.

  • Extensible agent ecosystem

    An MCP marketplace and agent store add modular capabilities, while system integration supports automated workflows; because service has ended, existing workflows need migration to Qoder.