Conductor
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Durable workflow orchestration and task coordination for distributed systems and AI agents
Key Features
Multi-Agent Single Agent Human-in-the-Loop Async Support Plugin System Custom Tools MCP Protocol Code Execution Sandboxing Guardrails DAG Workflows Visual Builder CLI API Server Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Extremely mature and battle-tested
- Netflix-scale proven
- Rich UI and monitoring
Weaknesses
- Java-centric ecosystem
- Heavy resource requirements
- Complex initial setup
Conductor Details
| Organization | Conductor OSS |
| Organization Type | Company |
| Funding | Series a |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | Hybrid |
| Primary Language | Java |
| Runtime | JVM 17+ |
| License | Apache-2.0 |
| Commercial Use | Unrestricted |
| Install Command | docker run -p 8080:8080 conductoross/conductor:latest |
| GitHub Stars | 31,581 |
| GitHub Forks | 840 |
| Open Issues | 148 |
| Contributors | 302 |
| Last Commit | 2026-03-27 |
| First Release | 2024-01-09 |
| Maturity | Mature |
| Pricing Model | Open core |
| Free Tier | Full open-source version available |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Very large (302 contributors, Slack, Discord) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic, Google, Any via HTTP |
| API Keys Required | LLM provider API key |
Use Cases
- Microservice orchestration
- AI agent workflow coordination
- Human-in-the-loop workflows
- Event-driven automation
When to Use
Best for: Enterprise-scale workflow orchestration with strong durability guarantees
Avoid when: Lightweight single-agent scenarios or Python-only teams
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a