Aqueduct

Open Source

Tools Updated Feb 15, 2026

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Compared with 28 other Tools agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Automating model training pipelines Deploying batch inference jobs Monitoring ML workflows in production Scaling experiments across cloud providers

⚖️ Pros & Cons

✅ Pros

Open-source and self-hostable for full control
Cloud-agnostic, supporting multiple infrastructure providers
Simplifies workflow orchestration without vendor lock-in

❌ Cons

Requires technical expertise to deploy and manage
Lacks managed hosting or enterprise support options
Fewer pre-built integrations compared to commercial alternatives

Overview

Aqueduct is an open-source platform that simplifies the orchestration of AI and ML workflows across cloud environments. It allows users to define, execute, and monitor tasks without managing infrastructure manually.

Problem It Solves

It eliminates the complexity of deploying and scaling AI/ML pipelines on cloud infrastructure, reducing operational overhead for engineers.

Target Audience: Developers and teams working with tools automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are Aqueduct, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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