agnovsOrca
Two self-hosted AI Agents projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| agno | Orca | |
|---|---|---|
| Score | 79/100 | 91/100 |
| Rank in category | #13 of 209 in AI Agents | #1 of 209 in AI Agents |
| GitHub stars | 43 178 | 123 371 |
| Stars, last 30 days | +556 | +23 464 |
| Stable releases, 12 months | 70 | 33 |
| Latest release | v3.2.0 · 12 Nov 2026 | v1.4.257 · 12 Nov 2026 |
| Setup | Moderate | Easy |
| Official Docker image | No | No |
| License | Apache-2.0 | MIT |
| Main language | Python | Typescript |
Which one should you pick?
Orca scores 91/100 against 79/100 for agno, so it is the safer default.
agno ships more often: 70 stable releases in the past year, against 33 for Orca.
If you want the quickest setup, Orca is easier to run; agno needs more configuration.
Orca is growing faster right now (+23 464 stars in 30 days).
Key differences
- License: agno is Apache-2.0, Orca is MIT.
- Language: agno is written mainly in Python, Orca in Typescript.
- Platforms only agno lists: AWS, Azure, Fly.io, Google Cloud and 4 more.
- Platforms only Orca lists: iOS, Linux, macOS, Windows.
- Features only agno lists: 100+ Toolkit Integrations, Agent Evaluation, Agent Storage, Chat Interfaces and 11 more.
- Features only Orca lists: Commit & push from app, Computer use, Diff annotation & AI code review, Embedded browser with Design Mode and 9 more.
agno details →Orca details →All AI Agents projects →
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