Open-Source AI · AI agent framework

LoopX vs Google ADK

LoopX vs Google ADK compared for 2026 — features, license, ease of use, performance and which one to choose. Keep long-running agent loops on durable, reviewable state vs Google's official Agent Development Kit.

Updated regularly · curated by olud.ai

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Google ADK for production agents on the Google/Gemini stack.

LoopX vs Google ADK at a glance

SpecLoopXGoogle ADK
CategoryAI agent frameworkAI agent framework
TypeAgent control planeAgent framework
LicenseMITApache-2.0
Runs locallyYesPartial
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forteams running long-lived coding agents that need restartable, auditable loopsproduction agents on the Google/Gemini stack
GitHub stars4.6k21.1k

How LoopX and Google ADK score

🤝 Too close to call — LoopX and Google ADK land within a hair (4.2 vs 4.1 / 5). Pick on fit, not on score.
CriterionLoopXGoogle ADK
Popularity2.53.5
Maintenance5.05.0
Ease of use3.53.5
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 →

Google ADK

Agent framework · Apache-2.0

ADK is Google's code-first framework for building, evaluating and deploying agents: hierarchical multi-agent systems, workflow control, built-in eval and a path to Vertex AI.

  • Model-agnostic but optimized for Gemini
  • Workflow agents give deterministic orchestration
  • Built-in evaluation and deployment story
See the Google ADK page →

Key differences

LoopX is agent control plane, while Google ADK is agent framework. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Yes vs Partial). In short, LoopX fits teams running long-lived coding agents that need restartable, auditable loops, and Google ADK fits production agents on the Google/Gemini stack.

Which should you choose?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Google ADK for production agents on the Google/Gemini stack.

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 Google ADK easier to use?

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

Are LoopX and Google ADK free?

LoopX is free and open source (MIT), and Google ADK is free and open source (Apache-2.0). Neither charges for the core software.

Can I run LoopX and Google ADK locally?

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

LoopX vs Google ADK — which should I pick in 2026?

Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Google ADK for production agents on the Google/Gemini stack.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →