Open-Source AI · AI agent framework

LoopX vs LangGraph

LoopX vs LangGraph 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, controllable agent graphs.

Updated regularly · curated by olud.ai

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose LangGraph for developers needing controllable agent workflows.

LoopX vs LangGraph at a glance

SpecLoopXLangGraph
CategoryAI agent frameworkAI agent framework
TypeAgent control planeAgent orchestration (graphs)
LicenseMITMIT
Runs locallyYesCloud-optional
Primary languagePythonPython / JS
Ease of useIntermediateAdvanced
Best forteams running long-lived coding agents that need restartable, auditable loopsdevelopers needing controllable agent workflows
GitHub stars4.6k39.6k

How LoopX and LangGraph score

🤝 Too close to call — LoopX and LangGraph land within a hair (4.2 vs 4.0 / 5). Pick on fit, not on score.
CriterionLoopXLangGraph
Popularity2.54.0
Maintenance5.05.0
Ease of use3.52.5
Privacy5.03.5
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 →

LangGraph

Agent orchestration (graphs) · MIT

LangGraph is a library for building stateful, controllable agents as graphs, giving you fine-grained control over loops, branching and persistence.

  • Explicit, controllable agent state machines
  • Persistence and human-in-the-loop built in
  • Integrates with the LangChain ecosystem
See the LangGraph page →

Key differences

LoopX is agent control plane, while LangGraph is agent orchestration (graphs). LoopX leans more intermediate-friendly, whereas LangGraph is more suited to advanced users. They also differ in how they run (Yes vs Cloud-optional). In short, LoopX fits teams running long-lived coding agents that need restartable, auditable loops, and LangGraph fits developers needing controllable agent workflows.

Which should you choose?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose LangGraph for developers needing controllable agent workflows.

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 LangGraph easier to use?

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

Are LoopX and LangGraph free?

LoopX is free and open source (MIT), and LangGraph is free and open source (MIT). Neither charges for the core software.

Can I run LoopX and LangGraph locally?

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

LoopX vs LangGraph — which should I pick in 2026?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose LangGraph for developers needing controllable agent workflows.

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