AgentIndex icon
AgentIndex
nanobot logo
nanobot
★ 49.3k
vs
agentao logo
agentao
★ 310

nanobot vs agentao

nanobot: nanobot is an ultra-lightweight, self-hosted personal AI agent framework built in Python, offering a readable core for multi-agent delegation and automation. It supports various interfaces including WebUI, terminal, and chat apps, integrating tools, long-term memory, and OpenAI-compatible APIs.; 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

nanobot logo
nanobotMulti-Agent · ★ 49.3k
When to choose:
  • You want a lightweight, hackable Python personal AI agent framework with clean code, a WebUI, and built-in MCP client support.
  • You prefer an easy-to-read, self-hosted agent core without the enterprise boilerplate of heavy agent frameworks.
When to skip:
  • You require production-grade distributed state checkpointing, strict Pydantic type validation, or multi-role team SOPs; Pydantic AI or CrewAI offer more mature infrastructure.
  • Your production stack is .NET or Go; Microsoft Agent Framework covers those runtimes.
Read nanobot 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
nanobot logonanobot
agentao logoagentao
Category
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 310
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
pip install 'agentao[cli]'
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Framework, Self-hosted, Python
Agent Runtime, Python, LLM Agent
03

Features

nanobot logonanobot
01Persistent workflows: goals, memory, tools, and chat context survive long-running work.
02Chat-native reach: WebUI, API, Telegram, Feishu, Slack, Discord, Teams, email, and Mattermost.
03Model freedom: OpenAI-compatible APIs, local LLMs, image generation, search, and fallbacks.
04Small core: readable internals with MCP, memory, deployment, and automation built in.
05Own your stack: inspect, customize, self-host, and extend without a giant platform.
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

nanobot logonanobot
↳Running long-horizon goals and scheduled automations.
↳Connecting to various chat applications like Telegram, Discord, Slack for AI interaction.
↳Exposing a Python SDK and OpenAI-compatible API for custom integrations and development.
↳Deploying as a long-running local or server-side agent gateway.
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

nanobot logonanobot
Most PopularEssential
agentao logoagentao
Hidden Gem
FAQ

FAQ

What is the difference between nanobot and agentao?
Both nanobot and agentao are in the Multi-Agent category. nanobot has 49.3k stars, while agentao has 310 stars.
Which is better, nanobot or agentao?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and agentao if Embedding AI agent capabilities into existing Python applications or frameworks..
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is agentao free or open source?
Yes, agentao is open source on GitHub (MIT).
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