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The system1-agents MCP server was last committed 29d ago and has 3 contributors. Issue health: 3% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

system1-agents MCP Server

Name: ThinkFlowLab/system1-agents
Rating: 3.3 (1 reviews)
Author: ThinkFlowLab

ThinkFlowLab/system1-agents

Score: 57.3 Rank #7567 MCP Server

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

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Overview

ThinkFlowLab/system1-agents is a Python tool licensed under Apache-2.0. System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics Topics: ai-agents, browser-agent, browser-automation, claude-code-plugin, computer-use, cua, decision-model, jev, laya, mcp-server, openjiuwen, system-one.

Ranked #7567 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0

ai-agentsbrowser-agentbrowser-automationclaude-code-plugincomputer-usecuadecision-modeljevlayamcp-serveropenjiuwensystem-one

Score Breakdown

Stars 15% 137

137 stars → growing community

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 3%

1/29 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 22

Description Good

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Issue Health high impact

You have 28 open vs 1 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 137
Forks: 22
Open Issues: 28
Closed Issues: 1
Contributors: 3
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 29d ago

Matched Queries

topic:mcp-server

From the README

<h1 align="center" id="system1-agents">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="docs/assets/logos/system1-agents-dark.png">
    
  </picture>
</h1>

> [!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](https://typesafe.ai),
> [Laya](https://huggingface.co/convaiinnovations/laya) or [Cua-S1 Nano](https://huggingface.co/cua-ai/cua-s1-nano-0.1).
> 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.**

[Quickstart](#choose-your-path) · [From Claude Code or Codex](#from-claude-code-or-codex) · [Benchmarks](docs/benchmarks.md) · [Docs](#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 | $

Read full README on GitHub →