AgentIndex icon
AgentIndex
nanobot logo
nanobot
★ 49.5k
vs
sre logo
sre
★ 1.3k

nanobot vs sre

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.; sre: SmythOS is an open-source runtime environment and SDK for building and managing production-ready AI agents. It provides OS-level abstractions for AI resources, a unified API, and built-in security, making agent engineering reliable and scalable.

01

TL;DR

nanobot logo
nanobotMulti-Agent · ★ 49.5k
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 →
sre logo
sreMulti-Agent · ★ 1.3k

Building and deploying production-ready AI agents.

Read sre full review →
02

Side-by-Side Comparison

Field
nanobot logonanobot
sre logosre
Category
Multi-Agent
Multi-Agent
Stars
★ 49.5k
★ 1.3k
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
npm i -g @smythos/cli
Updated
1d ago
6mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Framework, Self-hosted, Python
AI Agents, Runtime Environment, SDK
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.
sre logosre
01Agent-Centric Design
02Secure by Default
03High Performance
04Modular Architecture
05Observable
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.
sre logosre
↳Building and deploying production-ready AI agents.
↳Orchestrating and managing the lifecycle of AI agents.
↳Developing AI agents with unified access to various AI resources (LLMs, VectorDBs, Storage).
05

Best For

nanobot logonanobot
Most PopularEssential
sre logosre
Essential
FAQ

FAQ

What is the difference between nanobot and sre?
Both nanobot and sre are in the Multi-Agent category. nanobot has 49.5k stars, while sre has 1.3k stars.
Which is better, nanobot or sre?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and sre if Building and deploying production-ready AI agents..
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is sre free or open source?
Yes, sre is open source on GitHub (MIT).
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Alternatives to nanobot →Alternatives to sre →nanobot details →sre details →nanobot vs Pydantic AI →