What is the janitor agent?
The janitor agent is a specialized agent that checks code correctness, runs tests, and prevents regressions after parallel agent execution.
@chernistry
基本情報
Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"bernstein": {
"command": "bernstein",
"args": [
"mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Bernstein Multi Agent Orchestration is a control plane for orchestrating AI coding agents. It decomposes high-level development goals into smaller tasks, assigns them in parallel to multiple AI agents running in isolated worktrees, and verifies all outputs with a dedicated janitor agent — enabling reliable, thoroughly tested code without lock-in to a specific agent vendor.
Define a development goal and optional agent configuration in a YAML file, then run Bernstein to orchestrate multiple AI agents (e.g., Claude Code, Codex CLI, Gemini CLI) across providers. The server handles task decomposition, parallel execution, and automated verification automatically.
The janitor agent is a specialized agent that checks code correctness, runs tests, and prevents regressions after parallel agent execution.
No, Bernstein is vendor-agnostic and supports multiple providers including Claude Code, Codex CLI, and Gemini CLI. Prompts, workflows, and commands remain portable between them.
Every agent output is automatically verified by the janitor agent, which runs tests (e.g., `pytest`, `eslint`) and ensures no regressions are introduced.
Yes, you define complex dev tasks and workflows with simple declarative YAML configuration, specifying the goal and the agents to use.
A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.
ArduPilotドローンをAIエージェントから操作するMCPサーバーです。
Multi-Agent AI Orchestration Workshop
An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
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