# llama.cpp vs OpenAgentCore

> Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | llama.cpp | OpenAgentCore |
|---|---|---|
| Score | 93/100 ✓ | 46/100 |
| Rank in category | #2 of 25 in LLM Inference | #132 of 209 in AI Agents |
| GitHub stars | 132 669 ✓ | 302 |
| Stars, last 30 days | +3 312 | — |
| Stable releases, 12 months | 1461 ✓ | 6 |
| Latest release | b11972 · 28 Oct 2026 ✓ | v0.0.13 · 25 Oct 2026 |
| Setup | Moderate ✓ | Advanced |
| Official Docker image | Yes ✓ | No |
| License | MIT | MIT |
| Main language | C++ | Go |

## Which one should you pick?

llama.cpp scores 93/100 against 46/100 for OpenAgentCore, so it is the safer default.

llama.cpp ships more often: 1461 stable releases in the past year, against 6 for OpenAgentCore.

If you want the quickest setup, llama.cpp is easier to run; OpenAgentCore needs more configuration.

llama.cpp is growing faster right now (+3 312 stars in 30 days).

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [OpenAgentCore](https://selfhost.directory/project/openagentcore) (markdown: https://selfhost.directory/project/openagentcore.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-openagentcore