ИИ-агенты
Agon
Autonomous research loops, from topic to experiments.
★ 54 звездыMIT
Смотреть руководство →OpenScience — проект с открытым исходным кодом из категории «ИИ-агенты» от synthetic-sciences (synthetic-sciences/openscience на GitHub). У него 4 004 звезды на GitHub и 526 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 13 октября 2026.
OpenScience — the open-source AI workbench for scientific research: give it a goal, it reads the literature, runs the experiments and writes up the findings
Install globally from npm, or run the desktop app or browser workspace if you prefer a GUI.
Describe the research task in plain language — a claim to reproduce, a dataset to clean, a parameter sweep to run.
Follow the visible trace of searches, code and file changes, then read the written-up results and check them like any lab notebook.
A turn reads as what happened — reasoning, searches, runs and writes — so nothing happens that you cannot inspect afterwards.
Shell access, Python and R kernels, notebooks, and a file system with explicit read and write grants.
Desktop app, browser workspace or terminal command — on your machine, against your files.
The desktop app updates itself; the CLI upgrades with a single openscience upgrade command.
The CLI package is published as @synsci/openscience.
npm install -g @synsci/opensciencenpx launches the workbench directly.
npx synsciKeep an npm installation current with the built-in upgrade command.
openscience upgradesynthetic-sciences; the project site is openscience.sh.
Yes, Apache-2.0 licensed and published on npm.
The workbench is free; the underlying model usage follows whichever provider account or key you configure.
Hosted deep-research tools return an answer; OpenScience returns an inspectable record — the searches, code and files behind the answer — and runs locally against your own files.
Run npm install -g @synsci/openscience (or npx synsci), open the workbench, and describe your research goal in plain language.
Autonomous research loops, from topic to experiments.
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Deep research that stays on your machine — local or cloud LLMs, 10+ search engines, encrypted and private.
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Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если OpenScience вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к OpenScience — продолжайте изучать полку по обе стороны от него.
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Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.