nanobot

★ 49.3k

stellar-raven

★ 14

nanobot vs stellar-raven

Q: Which is better, nanobot or stellar-raven?

By GitHub stars, nanobot has more community adoption, but the best choice depends on your specific use case.

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.; stellar-raven: Stellar Raven is a remote MCP server built on Cloudflare Workers, offering `search` and `execute` tools to agents. It provides a unified catalog of Stellar ecosystem services and skills, enabling agents to discover and execute capabilities securely within a sandboxed environment.

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.

Read nanobot full review →

stellar-ravenMulti-Agent · ★ 14

Empowering AI agents to discover available services and skills

Read stellar-raven full review →

Side-by-Side Comparison

Field

nanobot

stellar-raven

Features

nanobot

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.

stellar-raven

01Remote MCP server on Cloudflare Workers

02Offers `search` and `execute` tools for agent interaction

03Secure execution of JavaScript in a sandboxed Dynamic Worker isolate

04Unified catalog for Stellar ecosystem services and skills

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.

stellar-raven

↳Empowering AI agents to discover available services and skills

↳Securely executing agent-generated JavaScript code for specific tasks

↳Providing a centralized interface for integrating and accessing Stellar ecosystem functionalities

Best For

nanobot

Most PopularEssential

stellar-raven

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FAQ

What is the difference between nanobot and stellar-raven?

Both nanobot and stellar-raven are in the Multi-Agent category. nanobot has 49.3k stars, while stellar-raven has 14 stars.

Which is better, nanobot or stellar-raven?

The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and stellar-raven if Empowering AI agents to discover available services and skills.

Is nanobot free or open source?

Yes, nanobot is open source on GitHub (MIT).

Is stellar-raven free or open source?

Yes, stellar-raven is open source on GitHub (Apache-2.0).

Cloud Infrastructure

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

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Alternatives to nanobot →Alternatives to stellar-raven →nanobot details →stellar-raven details →nanobot vs Pydantic AI →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

Deploy on DigitalOcean

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