Open-Source AI · AI agent framework

Agno vs SWE-agent

Agno vs SWE-agent compared for 2026 — features, license, ease of use, performance and which one to choose. Fast, lightweight multi-modal agents vs Agent that fixes GitHub issues.

Updated regularly · curated by olud.ai

Choose Agno for fast agents with memory and tools. Choose SWE-agent for automated bug fixing on real repos.

Agno vs SWE-agent at a glance

SpecAgnoSWE-agent
CategoryAI agent frameworkAI agent framework
TypeAgent frameworkAutonomous issue-fixing agent
LicenseMPL-2.0MIT
Runs locallyCloud-optionalCloud-optional
Primary languagePythonPython
Ease of useIntermediateAdvanced
Best forfast agents with memory and toolsautomated bug fixing on real repos
GitHub stars41.3k19.9k

How Agno and SWE-agent score

🤝 Too close to call — Agno and SWE-agent land within a hair (3.9 vs 3.9 / 5). Pick on fit, not on score.
CriterionAgnoSWE-agent
Popularity4.03.5
Maintenance5.05.0
Ease of use3.52.5
Privacy3.53.5
License freedom3.55.0

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

Agno

Agent framework · MPL-2.0

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
See the Agno page →

SWE-agent

Autonomous issue-fixing agent · MIT

SWE-agent from Princeton turns an LLM into an autonomous agent that fixes bugs in real GitHub repositories using a purpose-built agent-computer interface.

  • Strong results on SWE-bench
  • Purpose-built agent-computer interface
  • Research-grade and reproducible
See the SWE-agent page →

Key differences

Agno is agent framework, while SWE-agent is autonomous issue-fixing agent. Their licenses differ (MPL-2.0 vs MIT), which matters if you ship a commercial product. Agno leans more intermediate-friendly, whereas SWE-agent is more suited to advanced users. In short, Agno fits fast agents with memory and tools, and SWE-agent fits automated bug fixing on real repos.

Which should you choose?

Choose Agno for fast agents with memory and tools. Choose SWE-agent for automated bug fixing on real repos.

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 Agno or SWE-agent easier to use?

Agno is generally the easier of the two to get started with, while SWE-agent rewards more setup with more control.

Are Agno and SWE-agent free?

Agno is free and open source (MPL-2.0), and SWE-agent is free and open source (MIT). Neither charges for the core software.

Can I run Agno and SWE-agent locally?

Agno: cloud-optional · SWE-agent: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.

Agno vs SWE-agent — which should I pick in 2026?

Choose Agno for fast agents with memory and tools. Choose SWE-agent for automated bug fixing on real repos.

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