AutoGen vs
JulepAutoGen 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
| Spec | AutoGen | Julep |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Multi-agent framework | Agent backend |
| License | MIT | Apache-2.0 |
| Runs locally | Cloud-optional | Yes |
| Primary language | Python | Python |
| Ease of use | Advanced | Intermediate |
| Best for | researchers building conversational agent systems | agents that must run for days, not seconds |
| GitHub stars | 59.7k | 6.6k |
| Criterion | AutoGen | Julep |
|---|---|---|
| Popularity | 4.5 | 2.5 |
| Maintenance | 4.5 | 5.0 |
| Ease of use | 2.5 | 3.5 |
| Privacy | 3.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
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.
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.
JulepJulep provides a backend for long-running, stateful agents with persistent memory and scheduled tasks, so your agents survive restarts.
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.
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.
Julep is generally the easier of the two to get started with, while AutoGen rewards more setup with more control.
AutoGen is free and open source (MIT), and Julep is free and open source (Apache-2.0). Neither charges for the core software.
AutoGen: cloud-optional · Julep: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose AutoGen for researchers building conversational agent systems. Choose Julep for agents that must run for days, not seconds.
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