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.
B
Bernstein Multi Agent Orchestration MCP Server
@chernistry
基本信息
关于 Bernstein Multi Agent Orchestration MCP Server
Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.
Bernstein Multi Agent Orchestration MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bernstein": {
"command": "bernstein",
"args": [
"mcp"
]
}
}
}Bernstein Multi Agent Orchestration MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Bernstein Multi Agent Orchestration?
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.
How to use Bernstein Multi Agent Orchestration?
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.
Key features of Bernstein Multi Agent Orchestration
- Declarative YAML orchestration for complex dev workflows
- Parallel execution of multiple AI agents across providers
- Automated output verification with a dedicated janitor agent
- Vendor-agnostic and portable prompts and workflows
- Continuous self-improvement through automated feedback loops
Use cases of Bernstein Multi Agent Orchestration
- Automate complex dev workflows from a single goal description (new features, refactoring, API docs).
- Embed AI-driven code generation and testing directly into CI/CD pipelines for zero-touch operations.
- Continuously optimize agent coordination and outputs through feedback-driven refinement.
常见问题
Is Bernstein tied to a specific AI agent vendor?
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.
How does Bernstein ensure code quality?
Every agent output is automatically verified by the janitor agent, which runs tests (e.g., `pytest`, `eslint`) and ensures no regressions are introduced.
Can I define custom workflows in Bernstein?
Yes, you define complex dev tasks and workflows with simple declarative YAML configuration, specifying the goal and the agents to use.
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