nanobot
★ 49.3k
vs
A2A_ADK_MCP
★ 11
nanobot vs A2A_ADK_MCP
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.; A2A_ADK_MCP: A2A_ADK_MCP combines Google's Agent Development Kit with the A2A communication protocol and MCP control protocol to build robust multi-agent systems. It provides an environment for creating scalable, real-time communicating, and customizable agents for various intelligent applications.
01
TL;DR
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.
A2A_ADK_MCPMulti-Agent · ★ 11
Developing intelligent applications using multi-agent paradigms.
02
Side-by-Side Comparison
Field
nanobotA2A_ADK_MCPCategory
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 11
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
git clone https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip && cd A2A_ADK_MCP && pip install -r https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip
Updated
1d ago
8mo ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
Multi-Agent Systems, Google ADK, A2A Protocol
03
Features
nanobot01Persistent 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.
A2A_ADK_MCP01Easy Integration
02Scalability
03Real-time Communication
04Customizable Agents
05Robust Documentation
04
Use Cases
nanobot↳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.
A2A_ADK_MCP↳Developing intelligent applications using multi-agent paradigms.
↳Managing complex tasks through collaborative agent interactions.
↳Coordinating actions and behaviors among multiple autonomous agents.
↳Enhancing existing applications with advanced multi-agent capabilities.
05
Best For
nanobotMost PopularEssential
A2A_ADK_MCP—
FAQ
FAQ
What is the difference between nanobot and A2A_ADK_MCP?
Both nanobot and A2A_ADK_MCP are in the Multi-Agent category. nanobot has 49.3k stars, while A2A_ADK_MCP has 11 stars.
Which is better, nanobot or A2A_ADK_MCP?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and A2A_ADK_MCP if Developing intelligent applications using multi-agent paradigms..
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is A2A_ADK_MCP free or open source?
Yes, A2A_ADK_MCP is open source on GitHub (Apache-2.0).
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