System1 Agents

System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics

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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

Note

Give your agents a System 1 decision model. Start from a prebuilt agent or build your own.

Describe the task. Claude Code or Codex runs a prebuilt agent or builds a new one, on Jev, Laya or Cua-S1 Nano. Browser use, computer use, robotics and games ship ready to run.

Up to 6× faster and 25× cheaper than a chat model, at the same score.

test license python skill Listed on laya-ai.com

Quickstart · From Claude Code or Codex · Benchmarks · Docs

scenario Jev chat model speedup Jev cost chat model cost more expensive
Browser use (Allrecipes)† 35.7 s 138.7 s 3.89× $0.091356 $1.494331 16.4×
Custom agent (ticket router, 30 tickets) 12.7 s 65.3 s 5.14× $0.000764 $0.014800 19.4×
Computer use (Windows Calculator) 17.2 s 30.1 s 1.75× $0.000447 $0.003002 6.7×
Robotics (ALFWorld) 7.4 s 25.7 s 3.47× $0.000221 $0.002800* 12.7×
Games (2048, 20 moves) 27.1 s 68.5 s 2.53× $0.000447 $0.006139 13.7×
Games (Millionaire) 15.3 s 21.6 s 1.41× $0.000168 $0.000892 5.3×
Games (Blackjack) 2.3 s 14.7 s 6.39× $0.000021 $0.000531 25.3×

† The first Allrecipes task of the WebVoyager task set (He et al., 2024, Apache-2.0, attribution in NOTICE): a vegetarian lasagna with over 100 reviews, 4.5 stars or more, for 6. The chat model of that row is Claude Fable 5.1 through OpenRouter; both models pay it for the typed search text and the answer. * Estimated; the chat-model run recorded no cost. Each replay below is the episode behind its row, Jev on the left and the chat model on the right, both on the wall clock. The other Allrecipes runs, longer games and the Google Flights driver comparison with its rerun of 2026-09-23: docs/benchmarks.md.

From the project's README.

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