nanobot
★ 49.3k
vs
open-multi-agent
★ 7.0k
nanobot vs open-multi-agent
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.; open-multi-agent: OMA (Open Multi-Agent) is a self-hosted TypeScript runtime for single agents, task pipelines and goal-planned teams. Consequential actions pause for durable approvals bound to a hash of what the reviewer saw, and every run leaves a record that can be verified offline.
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.
open-multi-agentMulti-Agent · ★ 7.0k
Run agents that must get human sign-off before writing files or running shell
02
Side-by-Side Comparison
Field
nanobotopen-multi-agentCategory
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 7.0k
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
npm install @open-multi-agent/core
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
agent-runtime, typescript, human-in-the-loop
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.
open-multi-agent01runAgent, runTasks and runTeam execution modes
02Durable approvals that survive restarts and fail closed on tampering
03Run records verifiable offline, byte for byte
04Works with hosted, local (Ollama, vLLM) and Chinese model providers
05No telemetry and no hosted control plane
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.
open-multi-agent↳Run agents that must get human sign-off before writing files or running shell
↳Build PR review or security analysis agents with audit trails
↳Embed a multi-agent team in an existing Node.js backend
05
Best For
nanobotMost PopularEssential
open-multi-agentEssentialTrending
FAQ
FAQ
What is the difference between nanobot and open-multi-agent?
Both nanobot and open-multi-agent are in the Multi-Agent category. nanobot has 49.3k stars, while open-multi-agent has 7.0k stars.
Which is better, nanobot or open-multi-agent?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and open-multi-agent if Run agents that must get human sign-off before writing files or running shell.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is open-multi-agent free or open source?
Yes, open-multi-agent is open source on GitHub (MIT).
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