GitHub
InternAgent
观察池 · 暂无正式排名
该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。
— 未排名
可观测采用度缺失 —
动量当前有效 · 2026-09-12 12
关注度当前有效 · 2026-09-12 4
信号可信度 依据当前有数据的独立评分维度数量计算。
中2/3 · 1 种数据源
项目介绍
Rename .env.example to .env and fill in your API keys:
To use OpenRouter as the model gateway, set OPENROUTERAPIKEY and run with config/openrouterconfig.yaml. See docs/openrouter.md for setup details.
AutoDebug is a self-contained toy task (no dataset or model downloads required) and is the recommended first run to verify your setup.
QA mode uses InternAgent's deep research pipeline to answer a research question directly — no experiment loop, just a synthesized answer grounded in literature.
launch.py is a unified entry point for both modes:
Algorithm discovery tasks live under tasks/. Each contains a prompt.json (task description), baseline code/, and a launcher.sh. Datasets and…
各数据源
1.4k Star
- Star 1.4k
- Fork 129
- 提交 49
- 发布 0