Open-Source AI · AI agent framework

LoopX vs Julep

LoopX vs Julep compared for 2026 — features, license, ease of use, performance and which one to choose. Keep long-running agent loops on durable, reviewable state vs Stateful agents as a service.

Updated regularly · curated by olud.ai

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Julep for agents that must run for days, not seconds.

LoopX vs Julep at a glance

SpecLoopXJulep
CategoryAI agent frameworkAI agent framework
TypeAgent control planeAgent backend
LicenseMITApache-2.0
Runs locallyYesYes
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forteams running long-lived coding agents that need restartable, auditable loopsagents that must run for days, not seconds
GitHub stars4.6k6.6k

How LoopX and Julep score

🤝 Too close to call — LoopX and Julep land within a hair (4.2 vs 4.2 / 5). Pick on fit, not on score.
CriterionLoopXJulep
Popularity2.52.5
Maintenance5.05.0
Ease of use3.53.5
Privacy5.05.0
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

LoopX

Agent control plane · MIT

LoopX is a lightweight, local-first state kernel for long-running AI agent work: durable goals, executable todos, evidence logs, quota-aware auto-wake and verifiable handoffs, agnostic of the agent runtime — Codex, Claude Code, Cursor or your own.

  • Durable control state: goals, gates, todos, evidence and handoffs survive across sessions
  • Agent-agnostic: works alongside Codex, Claude Code, Cursor or a custom runtime
  • Local-first and MIT-licensed, with quota-aware auto-wake against runaway spending
See the LoopX 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

LoopX is agent control plane, while Julep is agent backend. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. In short, LoopX fits teams running long-lived coding agents that need restartable, auditable loops, and Julep fits agents that must run for days, not seconds.

Which should you choose?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. 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 LoopX or Julep easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are LoopX and Julep free?

LoopX 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 LoopX and Julep locally?

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

LoopX vs Julep — which should I pick in 2026?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Julep for agents that must run for days, not seconds.

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