AgentIndex icon
AgentIndex
nanobot logo
nanobot
★ 49.5k
vs
openrig logo
openrig
★ 8.3k

nanobot vs openrig

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.; openrig: OpenRig wraps coding agent harnesses into a rig: a persistent team defined in YAML and booted with one command, with Claude Code and Codex managed as one system. You talk to a lead agent about the outcome you want, and it coordinates specialists across teams and surfaces results and decisions.

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 →
openrig logo
openrigMulti-Agent · ★ 8.3k

Run a persistent team of coding agents on a repository

Read openrig full review →
02

Side-by-Side Comparison

Field
nanobot logonanobot
openrig logoopenrig
Category
Multi-Agent
Multi-Agent
Stars
★ 49.5k
★ 8.3k
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
npx skills add https://github.com/mvschwarz/openrig/tree/v0.7.0/skills/rigs --skill rigs --agent claude-code
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Framework, Self-hosted, Python
agent-team, agent-orchestration, claude-code
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.
openrig logoopenrig
01Agent teams defined in YAML and started with one command
02Claude Code, Codex and Pi in the same rig
03Kernel operator agent that adapts a starter team to your provider
04TUI showing seats with runtime, model, context and state
05Installable as a rigs skill in Claude Code or Codex
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.
openrig logoopenrig
↳Run a persistent team of coding agents on a repository
↳Have a lead agent coordinate specialists toward one outcome
↳Combine Claude Code and Codex in one managed system
05

Best For

nanobot logonanobot
Most PopularEssential
openrig logoopenrig
—
FAQ

FAQ

What is the difference between nanobot and openrig?
Both nanobot and openrig are in the Multi-Agent category. nanobot has 49.5k stars, while openrig has 8.3k stars.
Which is better, nanobot or openrig?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and openrig if Run a persistent team of coding agents on a repository.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is openrig free or open source?
Yes, openrig is open source on GitHub (Apache-2.0).
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