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InternScience/InternAgent

Python Tracked since 2025-05-16 Updated 2026-09-12 View source ↗

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InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

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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…

Excerpted from github.com/InternScience/InternAgent

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