LoopX vs 
Agno
LoopX vs Agno compared for 2026 — features, license, ease of use, performance and which one to choose. Keep long-running agent loops on durable, reviewable state vs Fast, lightweight multi-modal agents.
Updated regularly · curated by olud.ai
LoopX vs Agno at a glance
| Spec | LoopX | Agno |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent control plane | Agent framework |
| License | MIT | MPL-2.0 |
| Runs locally | Yes | Cloud-optional |
| Primary language | Python | Python |
| Ease of use | Intermediate | Intermediate |
| Best for | teams running long-lived coding agents that need restartable, auditable loops | fast agents with memory and tools |
| GitHub stars | 4.6k | 41.7k |
How LoopX and Agno score
| Criterion | LoopX | Agno |
|---|---|---|
| Popularity | 2.5 | 4.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 3.5 |
| Privacy | 5.0 | 3.5 |
| License freedom | 5.0 | 3.5 |
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
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
Agno
Agno (formerly Phidata) is a lightweight, high-performance framework for building multi-modal agents with memory, knowledge and tools, plus a monitoring UI.
- Very fast agent instantiation
- Built-in memory, knowledge and tools
- Multi-modal and model-agnostic
Key differences
LoopX is agent control plane, while Agno is agent framework. Their licenses differ (MIT vs MPL-2.0), which matters if you ship a commercial product. 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 Agno fits fast agents with memory and tools.
Which should you choose?
Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Agno for fast agents with memory and tools.
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 Agno easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are LoopX and Agno free?
LoopX is free and open source (MIT), and Agno is free and open source (MPL-2.0). Neither charges for the core software.
Can I run LoopX and Agno locally?
LoopX: yes · Agno: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
LoopX vs Agno — which should I pick in 2026?
Choose LoopX for teams running long-lived coding agents that need restartable, auditable loops. Choose Agno for fast agents with memory and tools.
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