AgentIndex icon
AgentIndex
agent-framework logo
agent-framework
★ 14.3k
vs
flow logo
flow
★ 27

agent-framework vs flow

agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; 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.

01

TL;DR

agent-framework logo
agent-frameworkMulti-Agent · ★ 14.3k
When to choose:
  • You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
  • You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.
When to skip:
  • You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
  • You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.
Read agent-framework full review →
flow logo
flowMulti-Agent · ★ 27

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

Read flow full review →
02

Side-by-Side Comparison

Field
agent-framework logoagent-framework
flow logoflow
Category
Multi-Agent
Multi-Agent
Stars
★ 14.3k
★ 27
License
MIT
Apache-2.0
Install Command
pip install agent-framework
git clone https://github.com/AixleHQ/flow.git && cd flow && cp .env.example .env.development && make setup
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Multi-agent systems, Workflow orchestration
AI Agent Management, Workflow Orchestration, Containerization
03

Features

agent-framework logoagent-framework
01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
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.
04

Use Cases

agent-framework logoagent-framework
↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
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.
05

Best For

agent-framework logoagent-framework
Most PopularEssentialTrending
flow logoflow
—
FAQ

FAQ

What is the difference between agent-framework and flow?
Both agent-framework and flow are in the Multi-Agent category. agent-framework has 14.3k stars, while flow has 27 stars.
Which is better, agent-framework or flow?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and flow if Managing and orchestrating AI coding agent tasks across a development team..
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Is flow free or open source?
Yes, flow is open source on GitHub (Apache-2.0).
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