llama-cpp-agent vs OpenHuman
Side-by-side comparison of two AI agent tools
Short answer
- llama-cpp-agent has had no commit in 6 months; OpenHuman is actively maintained (22,774 commits in the last 90 days).
- OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +6 for llama-cpp-agent.
- Pick llama-cpp-agent for: python framework for LLM chat, structured output, function calling, RAG, and agent chains. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.
From GitHub data refreshed daily.
llama-cpp-agentfree
Python framework for LLM chat, structured output, function calling, RAG, and agent chains
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
Metrics
| llama-cpp-agent | OpenHuman | |
|---|---|---|
| Stars | 659 | 40.5k |
| Star velocity /mo | 5.684210526315789 | 2.5k |
| Commits (90d) | 0 | 22.8k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 603 | — |
| Overall score | 0.18581044753131928 | 0.9308227395695856 |
Pros
- +引导采样技术让未微调模型也能进行函数调用和结构化输出
- +支持多种后端提供商(llama-cpp-python、TGI、vllm等)提供良好兼容性
- +功能全面涵盖聊天、函数调用、RAG和代理链等核心能力
Cons
- -项目已不再维护，官方建议迁移到其他框架
- -对于简单用例可能存在过度设计的复杂性
Use Cases
- •构建具有函数调用能力的对话代理系统
- •实现带文档检索的RAG应用程序
- •从LLM中提取结构化数据和执行复杂的代理链工作流
FAQ
- Which is more popular, llama-cpp-agent or OpenHuman?
- OpenHuman has more GitHub stars (40,486 vs 659).
- Which is more actively developed, llama-cpp-agent or OpenHuman?
- OpenHuman had more commits in the last 90 days (22,774 vs 0).
- Should I use llama-cpp-agent or OpenHuman?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.