Open-Source AI · AI agent framework

AutoGen vs Julep

AutoGen vs Julep compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's conversational agent framework vs Stateful agents as a service.

Updated regularly · curated by OpenSourceAI.tech

Choose AutoGen for researchers building conversational agent systems. Choose Julep for agents that must run for days, not seconds.

AutoGen vs Julep at a glance

SpecAutoGenJulep
CategoryAI agent frameworkAI agent framework
TypeMulti-agent frameworkAgent backend
LicenseMITApache-2.0
Runs locallyCloud-optionalYes
Primary languagePythonPython
Ease of useAdvancedIntermediate
Best forresearchers building conversational agent systemsagents that must run for days, not seconds
GitHub stars59.7k6.6k

How AutoGen and Julep score

🤝 Too close to call — AutoGen and Julep land within a hair (4.0 vs 4.2 / 5). Pick on fit, not on score.
CriterionAutoGenJulep
Popularity4.52.5
Maintenance4.55.0
Ease of use2.53.5
Privacy3.55.0
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

AutoGen

Multi-agent framework · MIT

AutoGen — the official full name, short for “Automated Generation” — is Microsoft’s open-source framework for building multi-agent AI systems where agents converse to solve tasks, with strong support for code execution and tool use.

  • Flexible multi-agent conversation patterns
  • Strong code-execution and tool-use support
  • Backed by Microsoft Research
See the AutoGen page →

Julep

Agent backend · Apache-2.0

Julep provides a backend for long-running, stateful agents with persistent memory and scheduled tasks, so your agents survive restarts.

  • Persistent state across sessions
  • Scheduled and long-running tasks
  • Self-hostable backend
See the Julep page →

Key differences

AutoGen is multi-agent framework, while Julep is agent backend. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. AutoGen leans more advanced-friendly, whereas Julep is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Yes). In short, AutoGen fits researchers building conversational agent systems, and Julep fits agents that must run for days, not seconds.

Which should you choose?

Choose AutoGen for researchers building conversational agent systems. Choose Julep for agents that must run for days, not seconds.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is AutoGen or Julep easier to use?

Julep is generally the easier of the two to get started with, while AutoGen rewards more setup with more control.

Are AutoGen and Julep free?

AutoGen is free and open source (MIT), and Julep is free and open source (Apache-2.0). Neither charges for the core software.

Can I run AutoGen and Julep locally?

AutoGen: cloud-optional · Julep: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

AutoGen vs Julep — which should I pick in 2026?

Choose AutoGen for researchers building conversational agent systems. Choose Julep for agents that must run for days, not seconds.

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