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What you can do with System1 Agents

System1-Agents is a Python toolkit that gives AI agents System 1 decision models (Jev, Laya, Cua-S1) for browser, computer, game and robotics tasks.

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ThinkFlowLab/system1-agents on GitHub

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What do you want to do?

4 use cases

  • Route support tickets to a queue in one call

    Send each ticket to one of five queues with a System 1 model and a probability.

    View prompt
    In the system1-agents repo, route each ticket in <ticket-file> to one of logistics, payment, returns, account or human using `s1a decide`. Return one JSON line per ticket with the chosen queue and its probability. Verify that every output has a choice that matches one of the five queue names.

  • Hand single decisions to a System 1 agent from Claude Code

    Install the s1a skill so Claude Code or Codex sends one-off choices to a fast model.

    View prompt
    Using the system1-agents skill in this session, decide the best option for <task-description> with the s1a decide command. Report the chosen option, its probability and the command you ran. Verify that the reported choice is one of the options you supplied.

  • Compare Jev and a chat model on the same agent

    Run one Blackjack agent with Jev and with the chat model, then compare score and time.

    View prompt
    In the system1-agents repo, run the blackjack agent with --model jev and then with --model llm, both with --episodes 20 and --rethink off. Report the score and wall-clock time of each job folder. Verify that both runs completed 20 episodes before comparing them.

  • Build a new System 1 agent for your own task

    Use the builder skill to probe a task and write a System 1 agent module.

    View prompt
    In the system1-agents checkout, use the builder skill to create a System 1 agent for <task>, ending in a frozen SPEC under s1a/agents/. Report the new module path, the probe results and the score from one run. Verify that the agent stops if the task needs deduction or arithmetic.

How to use System1 Agents

  1. Check you have what it needs: git and uv, since the README installs with `uv sync`; A Jev key: TYPESAFE_API_KEY from the TypeSafe console, or OPENROUTER_API_KEY; Claude Code or Codex if you want the agent-driven path.
  2. Open ThinkFlowLab/system1-agents on GitHub and read the README and license.
  3. git clone https://github.com/ThinkFlowLab/system1-agents && cd system1-agents
  4. uv sync && cp .env.example .env, then put a Jev key in .env as TYPESAFE_API_KEY or OPENROUTER_API_KEY
  5. Run uv run s1a decide --state '{"ticket": "I was charged twice for order 4411 and I want the second charge refunded."}' --option logistics="delivery problems" --option payment="billing and charges" --option returns="return requests" --option account="login and account access" --option human="anything else" (inferred, check the README)
  6. Read the printed JSON: choice is the queue, and the per-option probabilities and confidence show how sure the model is

These steps come from our top use case, Route support tickets to a queue in one call, which also has a copy-paste agent prompt.

System1 Agents alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • git and uv, since the README installs with `uv sync`
  • A Jev key: TYPESAFE_API_KEY from the TypeSafe console, or OPENROUTER_API_KEY
  • Claude Code or Codex if you want the agent-driven path
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Questions about System1 Agents

What is System1 Agents?

System1-Agents is a Python toolkit that gives AI agents System 1 decision models (Jev, Laya, Cua-S1) for browser, computer, game and robotics tasks. It is an open-source project on GitHub: https://github.com/ThinkFlowLab/system1-agents.

Who is System1 Agents for?

Developers and AI-agent builders who want fast, cheap single-decision calls inside agents, driven from Claude Code, Codex or the command line.

What can I do with System1 Agents?

4 use cases so far, for example: Route support tickets to a queue in one call; Hand single decisions to a System 1 agent from Claude Code; Compare Jev and a chat model on the same agent. Each has steps and a copy-paste agent prompt.

What do I need to run System1 Agents?

git and uv, since the README installs with `uv sync`; A Jev key: TYPESAFE_API_KEY from the TypeSafe console, or OPENROUTER_API_KEY; Claude Code or Codex if you want the agent-driven path.

What are alternatives to System1 Agents?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is System1 Agents safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.