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System1 Agents

A Python toolkit that puts Jev, Laya, or Cua-S1 at the center of browser, computer-use, robotics, and game agents, with a CLI and an MCP server.
Stars
152
Language
Python
License
APACHE-2.0
Reading time
3 min
Published by
Community
Author
ThinkFlowLab
Last verified
Sep 2026

About this project

Quickstart · From Claude Code or Codex · Benchmarks · Docs.

Quoted from the project's README. Read the full README.

Highlights

  • Reports up to 6x faster and 25x cheaper than a chat model at the same score.
  • Blackjack finished in 2.3 s versus 14.7 s and $0.000021 versus $0.000531 per decision.
  • Each agent is an openJiuwen agent whose model is the decision model; the Blackjack module is 111 lines ending in a frozen SPEC.
  • `s1a decide` prints choice, per-option probabilities, confidence, and milliseconds in about 400 ms.
  • An MCP server exposes list_agents, run_agent, and decide, and a Claude plugin adds a browser subagent.

Quickstart

bash
uv sync && cp .env.example .env
uv run s1a decide --state '{"player_total": 18, "dealer_upcard": 9}' \
  --option hit="take a card" --option stand="keep the hand" \
  --rules "stand on 17 or more"

Watch out

Live runs need a TypeSafe or OpenRouter key, though the Cua path runs keyless in process. Python 3.11 or newer, and the first `uv sync` takes several minutes.

Questions about this entry

Short answers drawn from the linked project or page.

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