AgentIndex icon
AgentIndex
Agentflow logo
Agentflow
★ 27
vs
agentao logo
agentao
★ 310

Agentflow vs agentao

Agentflow: Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows, offering an LLM-agnostic core engine. It provides a full-stack ecosystem including an API server, CLI, TypeScript client, visual playground, and documentation for taking multi-agent systems from prototype to production.; agentao: Agentao is a governed agent runtime for Python, emphasizing local-first, private-first, and embeddable design. It provides comprehensive control over permissions, protocols, memory, plugins, and multi-session capabilities for AI agents.

01

TL;DR

Agentflow logo
AgentflowMulti-Agent · ★ 27

Building Reasoning Agents

Read Agentflow full review →
agentao logo
agentaoMulti-Agent · ★ 310

Embedding AI agent capabilities into existing Python applications or frameworks.

Read agentao full review →
02

Side-by-Side Comparison

Field
Agentflow logoAgentflow
agentao logoagentao
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 310
License
MIT
MIT
Install Command
pip install 10xscale-agentflow 10xscale-agentflow-cli && agentflow init my-agent && cd my-agent && agentflow api
pip install 'agentao[cli]'
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent Orchestration, LLM Framework, Python
Agent Runtime, Python, LLM Agent
03

Features

Agentflow logoAgentflow
01LLM-Agnostic Orchestration
02Multi-Agent Workflows
03Parallel Tool Execution
04Realtime Audio Agents
05State Management & Checkpointing
agentao logoagentao
01Robust Governance: Features include tool confirmation, four permission modes (read-only, workspace-write, full-access, plan), and macOS sandbox execution.
02Persistent Memory: SQLite-backed memory with user/project scopes, automatic recall, and Jieba Chinese segmentation for enhanced context.
03Extensible Skills: Automatically discovered from local directories, installable from GitHub, and supports a `/crystallize` workflow for skill creation.
04Flexible Protocols: Implements MCP for tools (stdio, HTTP, SSE) and ACP (JSON-RPC) for full agents, with a comprehensive plugin lifecycle.
05Seamless Embedding: Offers a direct `Agentao(...)` constructor, event streams, active permissions management, and capability injection for integration.
04

Use Cases

Agentflow logoAgentflow
↳Building Reasoning Agents
↳Retrieval-Augmented Generation (RAG)
↳Multi-Agent Collaboration
↳Realtime Voice Applications
↳Workflow Automation
agentao logoagentao
↳Embedding AI agent capabilities into existing Python applications or frameworks.
↳Developing and driving AI agents directly from the terminal using a comprehensive command-line interface.
↳Building custom AI agents with specific governance rules, persistent memory management, and flexible tool integration.
↳Creating and managing a library of reusable AI skills that can be installed and shared across different projects.
05

Best For

Agentflow logoAgentflow
—
agentao logoagentao
Hidden Gem
FAQ

FAQ

What is the difference between Agentflow and agentao?
Both Agentflow and agentao are in the Multi-Agent category. Agentflow has 27 stars, while agentao has 310 stars.
Which is better, Agentflow or agentao?
The best choice depends on your use case. Choose Agentflow if Building Reasoning Agents, and agentao if Embedding AI agent capabilities into existing Python applications or frameworks..
Is Agentflow free or open source?
Yes, Agentflow is open source on GitHub (MIT).
Is agentao free or open source?
Yes, agentao is open source on GitHub (MIT).
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Related

Alternatives to Agentflow →Alternatives to agentao →Agentflow details →agentao details →