Digitorn
Digitorn
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Multi-agent framework

An open-source alternative to CrewAI

Python framework that organises agents into role-based crews with task delegation.

Digitorn is a YAML-first AI agent runtime. Open source, self-hosted, with multi-agent dispatch built in. Below: what CrewAI does well, why teams switch, and where Digitorn fits.

About CrewAI

CrewAI is a popular multi-agent framework with a strong role-play metaphor. Crews of agents (researcher, writer, reviewer) work together on tasks. The configuration is Python, with decorators and class hierarchies. It has good momentum among research-flavoured teams and Python-native shops.

What CrewAI does well
  • Clear role-based mental model
  • Active community, lots of tutorials
  • Good fit for research and content-generation pipelines
Why teams look for an alternative
  • Python class hierarchy is heavyweight for simple agents
  • Hot reload requires process restarts
  • Per-agent cost routing is manual
  • No marketplace for distributing crews
Why Digitorn

What you get when you switch

YAML-first, no class hierarchy

Define a crew in 30 lines of YAML. Each agent is a top-level entry, no decorators or base classes.

Hot reload of prompts in 200ms

Edit a system prompt, save the file, the next turn uses it. No Python restart.

Hub for distributing crews

Push your crew, your teammate installs it with one command, the YAML is the unit of sharing.

Try it in 5 minutes

Install and run a real agent

# one-line install (Mac, Linux, Windows + Git Bash)
curl -sSL https://digitorn.ai/install | sh

# install a coding agent from the Hub
digitorn install hub://digitorn/digitorn-code

# chat with it
digitorn chat digitorn-code
Read the deep dive

Digitorn vs LangChain: an honest comparison

Read article
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