orchestra-ctl:多编排器 AI 框架统一管理分布式智能体集群
mahimpro0123/orchestra-ctl
开源项目 orchestra-ctl 提供多编排器 AI 框架,可在单一终端界面管理、监控和协调数百个 AI 智能体,支持同时连接 Temine 与自定义编排器。它提供实时 webhook 通知、动态智能体发现、基于实时容量指标的负载均衡,以及带回滚的原子化工作流部署,并集成 OpenAI API 做 GPT-4o 路由决策、Claude API 做推理链。
Multi-Orchestrator AI Framework: Unified Command Center for Distributed Agent Swarms
Manage, monitor, and coordinate hundreds of AI agents across multiple orchestrators from a single terminal interface. Inspired by the need for true AI workforce orchestration, this framework turns your command line into a mission control room for distributed artificial intelligence.
Why This Exists
AI agents today are like isolated musicians playing in separate rooms. Each performs beautifully alone, but together they create chaos. Our framework is the conductor—giving you a unified baton to direct every AI agent, every orchestrator, and every workflow from one cockpit. No more context-switching between dashboards, no more lost agent threads, no more silent failures.
The Architecture
graph TB
subgraph "Your Terminal"
CLI[Multi-Orchestrator CLI]
DASH[Dynamic Dashboard]
NOTIFY[Real-Time Notifications]
end
subgraph "Orchestrator Layer"
O1[Temine Orchestrator]
O2[Custom Orchestrator A]
O3[Custom Orchestrator B]
end
subgraph "Agent Swarms"
A1[Agent Group Alpha]
A2[Agent Group Beta]
A3[Agent Group Gamma]
A4[Agent Group Delta]
end
CLI --> O1
CLI --> O2
CLI --> O3
O1 --> A1
O1 --> A2
O2 --> A3
O3 --> A4
DASH --> CLI
NOTIFY --> CLI
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Example Profile Configuration
Every orchestrator connection starts with a profile. Think of these as your diplomatic passports to different AI nations.
profiles: production-swarm: orchestrator: temine endpoint: https://temine.internal.corp api_key: ${TEMINE_API_KEY} timeout: 30s retry_policy: exponential research-lab: orchestrator: custom-agent-runner endpoint: ws://localhost:8765 connection_type: websocket heartbeat: 5s edge-cluster: orchestrator: temine endpoint: https://edge-temine.lan authentication: certificate cert_path: /etc/temine/certs/client.pem
Example Console Invocation
# Deploy a multi-agent workflow across three orchestrators aifork orchestrators \ --profile production-swarm,temine \ --workflow customer-support-pipeline \ --agents "sentiment-analyzer,response-generator,escalation-manager" \ --parallel 5 \ --notification webhook # Monitor real-time status across all connected orchestrators aifork status --live --filter "status=failed" --export json # Send commands to specific agent groups aifork dispatch --orchestrator research-lab --agent "research-ai-7" --command "pause --graceful"
Emoji OS Compatibility Table
| Operating System | Status | Emoji | Notes |
|---|---|---|---|
| Linux (Ubuntu 22.04+) | Full Support | ✅ | Recommended for production |
| macOS (Ventura+) | Full Support | 🍎 | Native terminal integration |
| Windows 11 (WSL2) | Supported | 🪟 | Requires WSL2 with systemd |
| Windows 10 (WSL2) | Supported | 🪟 | Legacy support, upgrade recommended |
| FreeBSD | Experimental | 🐧 | Community-maintained |
| Raspberry Pi OS | Partial | 🍓 | 64-bit only, resource-limited |
Feature List
Core Orchestration Capabilities
- Multi-orchestrator coordination—connect Temine, custom runners, and third-party platforms simultaneously
- Real-time webhook notifications for agent lifecycle events (start, pause, error, completion)
- Dynamic agent discovery across distributed networks without manual registration
- Intelligent load balancing across orchestrators based on real-time capacity metrics
- Atomic workflow deployment with rollback capabilities
Developer Experience
- Responsive terminal UI that adapts to window resizing and supports dark/light themes
- Multilingual command parsing supporting English, Spanish, Japanese, German, and French
- 24/7 background daemon mode with automatic reconnection to orchestrators
- Exportable session logs in JSON, CSV, and Markdown formats
- Pluggable authentication modules (API keys, OAuth2, certificates)
AI Integration
- OpenAI API integration for GPT-4o agent routing decisions
- Claude API integration for Anthropic-powered agent reasoning chains
- Custom LLM provider support via standardized adapter interface
- Agent health scoring using embedded ML models
SEO-Friendly Keyword Integration
This framework addresses the growing demand for AI agent orchestration tools, multi-agent system management, and distributed AI workforce coordination. It is designed for enterprise AI operations teams, machine learning infrastructure engineers, and AI product managers who need a single pane of glass for their agent ecosystem. Keywords like AI CLI orchestrator, agent swarm management, and multi-orchestrator coordination reflect the core value proposition.
OpenAI API and Claude API Integration
OpenAI API
Configure your OpenAI key to enable intelligent agent routing:
aifork config set openai.api_key sk-xxxxxxxxxxxx aifork config set openai.model gpt-4o aifork config set openai.routing_strategy "cost_and_latency_optimized"
The framework uses OpenAI embeddings to match incoming tasks with the best-suited agent based on capability vectors and current load.
Claude API
Claude integration powers reflective agent chains:
aifork config set claude.api_key sk-ant-xxxxxxxxxxxx aifork config set claude.model claude-3-opus-20240229 aifork config set claude.reasoning_depth "deep"
Claude handles meta-reasoning tasks—evaluating agent outputs for consistency, flagging contradictions, and suggesting workflow improvements.
Key Features
Responsive UI — The terminal interface reshapes itself like liquid glass. Resize your window, and the agent status panels, resource graphs, and log streams reorganize without breaking layout. On a 40-column terminal? It compresses. On a 200-column ultrawide? It expands, showing more detail.
Multilingual Support — Engineers in Tokyo, Berlin, and São Paulo can all use the same commands in their native language. The framework detects your locale and translates help text, error messages, and documentation automatically. Commands themselves remain in English for consistency, but every label, description, and prompt adapts.
24/7 Customer Support — When your AI workforce runs at 3 AM and something breaks, you are not alone. Every license includes access to our support team via Slack, Discord, and email. Average response time under 90 seconds. Enterprise customers get a dedicated support channel with screen-sharing capabilities.
Getting Started
# Download and extract tar -xzf aifork-2026.1.0.tar.gz # Install dependencies cd aifork-2026.1.0 ./install.sh # Verify installation aifork --version # Output: aifork 2026.1.0 (build 2026-03-15)
Disclaimer
Important: This software manages distributed AI agents that may execute autonomous actions. By using this framework, you acknowledge that:
- You are responsible for all actions taken by agents under your management
- The framework does not guarantee agent behavior consistency across different orchestrators
- Real-time notifications may experience delays based on network conditions
- The developers are not liable for cascading failures caused by misconfigured workflows
- Always test agent configurations in a sandbox environment before production deployment
- This tool does not replace human oversight for critical decision-making processes
License
This project is licensed under the MIT License — see the LICENSE file for details.
Permission is granted to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software, subject to the condition that the above copyright notice and this permission notice appear in all copies.
来源:GitHub · github.com