cj-vana/claude-swarm

一个MCP服务器,用于协调并行的克洛德代码工人群 与基于协议的行为治理。 启用与持续状态,平行工人的多小时自主编码会话,以及行为约束的运行时间强制.

• 安装 快速启动 • • 板子 • 议定书 工具

– – . . .

□ 特性

工人管弦乐团

• ** 持续状态** - 会话状态通过MCP服务器存活上下文收缩
• 通过tmux同时运行多个克劳德法典工人
• ** Git工作树隔离** – – 工人在孤立的工作树上跑去安全平行改造
• 工人计划模式 – – 工人在实施(自动批准)前分析密码库并制订计划。
• ** 竞争性规划** - 复杂特点有两个相互竞争的实施计划 -** 信任监测** – – 多信号分数检测困难工人
• ** 强制核查** – – 具有可配置核查指令的测试即监模式
• ** 自动重试** - 失败的特性自动重试可配置限制
• ** 不同特性之间的执行顺序

An MCP server for orchestrating parallel Claude Code worker swarms with protocol-based behavioral governance. Enables multi-hour autonomous coding sessions with persistent state, parallel workers, and runtime enforcement of behavioral constraints.

Installation • Quick Start • Dashboard • Protocols • Tools

---

Features

Worker Orchestration

• Persistent State - Session state survives context compaction via MCP server
• Parallel Workers - Run multiple Claude Code workers simultaneously via tmux
• Git Worktree Isolation - Workers run in isolated git worktrees for safe parallel modification
• Worker Plan Mode - Workers analyze codebases and produce plans before implementing (auto-approved)
• Competitive Planning - Complex features get two competing implementation plans
• Confidence Monitoring - Multi-signal scoring detects struggling workers
• Enforced Verification - Test-as-supervisor pattern with configurable verification commands
• Auto-retry - Failed features automatically retry with configurable limits
• Feature Dependencies - Define execution order between features
• File-Based Task Locking - Atomic mutual exclusion prevents workers from conflicting
• Post-Completion Reviews - Automated code and architecture reviews with actionable findings

Long-Running Autonomy

• Ralph Loop - Fresh Claude context per iteration eliminates context rot for long sessions
• Days-Long Sessions - Supports hours/days of autonomous execution with checkpointing
• Crash Recovery - Automatic session resumption after crashes or machine restarts
• Failure Pattern Learning - Records what works/fails for future worker prompts

Protocol-Based Governance

• Behavioral Protocols - Define constraints on what workers can/cannot do
• Pre-spawn Validation - Verify protocols allow task before worker starts
• Continuous Monitoring - Track constraint violations during execution
• LLM-Generated Protocols - Workers can propose new protocols (validated against base constraints)
• Cross-instance Sync - Share protocols across MCP instances

Monitoring & Dashboard

• Real-time Web Dashboard - Live UI at http://localhost:3456 with Server-Sent Events
• Live Terminal Streaming - Watch worker output with ANSI color support
• Review Worker Visibility - Code and architecture review progress in dashboard
• Violation Tracking - Audit log of all protocol violations
• Git Checkpoints - Commit progress after each feature

Repository Setup

• Auto-Configuration - Set up CI/CD, issue templates, and documentation in parallel