AgentIndex icon
AgentIndex
flow logo
flow
★ 27
vs
MetaGPT logo
MetaGPT
★ 71.0k

flow vs MetaGPT

flow: Aixle Flow provides a team-level control plane for AI coding agents, addressing challenges like visibility, cost tracking, and consistent setup when multiple team members use agents. It offers a Kanban board, DAG workflow engine, and container-isolated execution to make AI agents usable by teams without opening a terminal.; MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.

01

TL;DR

flow logo
flowMulti-Agent · ★ 27

Managing and orchestrating AI coding agent tasks across a development team.

Read flow full review →
MetaGPT logo
MetaGPTMulti-Agent · ★ 71.0k
When to choose:
  • You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
  • You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
When to skip:
  • You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
  • You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
Read MetaGPT full review →
02

Side-by-Side Comparison

Field
flow logoflow
MetaGPT logoMetaGPT
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 71.0k
License
Apache-2.0
MIT
Install Command
git clone https://github.com/AixleHQ/flow.git && cd flow && cp .env.example .env.development && make setup
pip install --upgrade metagpt
Updated
1d ago
9mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Management, Workflow Orchestration, Containerization
Multi-Agent System, Large Language Models, Software Development
03

Features

flow logoflow
01Kanban board with column-workflow bindings to trigger agent runs.
02DAG workflow engine supporting retries, approval gates, and parallel steps.
03Container-isolated execution for various AI coding agents (e.g., Claude Code, Cursor CLI).
04Per-session cost tracking for agent runs, displaying tokens and cents.
05Leverages Temporal for durable, long-running agent execution.
MetaGPT logoMetaGPT
01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
04

Use Cases

flow logoflow
↳Managing and orchestrating AI coding agent tasks across a development team.
↳Tracking the activities, costs, and outputs of AI agents for team visibility and auditing.
↳Standardizing the setup and consistent usage of AI agents within a team.
↳Automating complex coding workflows by linking Kanban board card movements to agent actions.
MetaGPT logoMetaGPT
↳Data Interpreter
↳Debate
↳Researcher
05

Best For

flow logoflow
—
MetaGPT logoMetaGPT
Most PopularEssential
FAQ

FAQ

What is the difference between flow and MetaGPT?
Both flow and MetaGPT are in the Multi-Agent category. flow has 27 stars, while MetaGPT has 71.0k stars.
Which is better, flow or MetaGPT?
The best choice depends on your use case. Choose flow if Managing and orchestrating AI coding agent tasks across a development team., and MetaGPT if Data Interpreter.
Is flow free or open source?
Yes, flow is open source on GitHub (Apache-2.0).
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
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