nanobot
★ 49.3k
vs
agent-network
★ 101
nanobot vs agent-network
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.; agent-network: Agent Network is a local-first multi-agent collaboration platform that runs entirely on your machine. It provides a unified CLI to manage Hub, Web Dashboard, and multiple agents, supporting various LLM providers and automatic task distribution via MCP tools. Optional LAN sharing is available.
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.
agent-networkMulti-Agent · ★ 101
Running multiple AI agents locally for collaborative task execution
02
Side-by-Side Comparison
Field
nanobotagent-networkCategory
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 101
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
npm install -g @sleep2agi/agent-network
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
agent-network, ai-agents, anthropic
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.
agent-network01Single CLI for Hub, Dashboard, and Agent runtimes (Claude Code CLI, Claude Agent SDK, Codex SDK)
02Switch between 8 LLM providers (Anthropic, OpenAI, MiniMax, DeepSeek, GLM, Kimi, InternLM, OpenRouter) via ANTHROPIC_BASE_URL
03Local or cross-server mesh network with real-time SSE communication and automatic agent discovery
0417 built-in MCP tools for automatic task delegation between agents without manual orchestration
05Built-in Web Dashboard (Chat, Nodes, Tasks, Messages, Networks, Logs, Admin) with 4 themes
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.
agent-network↳Running multiple AI agents locally for collaborative task execution
↳Deploying agents across multiple servers or workstations connected via a single Hub
↳Unified management and switching between various LLM providers for different agent tasks
05
Best For
nanobotMost PopularEssential
agent-network—
FAQ
FAQ
What is the difference between nanobot and agent-network?
Both nanobot and agent-network are in the Multi-Agent category. nanobot has 49.3k stars, while agent-network has 101 stars.
Which is better, nanobot or agent-network?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and agent-network if Running multiple AI agents locally for collaborative task execution.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is agent-network free or open source?
Yes, agent-network is open source on GitHub (Apache-2.0).
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