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Outputs:
GPT-4 TurboLLMCoderGemma 1GPT-4oGPT-4o Minio1-previewo1-miniClaude Sonnet 3.5o1DeepSeek R1Llama 3.2
Low-Code/ No-Code AI Agent Dev Kit

Most popular alternative: Younet (299 saves)
Skymel ADK lets you build AI agents by describing them in plain English in five minutes. The platform generates custom execution workflows, selects models and tools as needed, automatically handles errors, and continuously optimizes performance.
Skymel ADK utilizes a multi-component reasoning engine, cross-validating reasoning steps with Multi-LLM cores, while employing traditional AI models as guardrails (for example, tool selection is carried out by a classifier). This improves upon Single LLM agentic brains by reducing hallucinations, goal drift, and increasing agentic workflow completion rates.
Agent configuration utilizes simple JSON to define the agent's purpose, tools (if any), and constraints. The platform handles workflow generation, model routing, and fallback management without requiring dev involvement at all. Built-in monitoring provides step-level logs, cost tracking, and automatic budget controls.
Additionally, the multi-component reasoning engine learns from every execution, improving decision-making over time based on real outcomes. The system goes beyond neurosymbolic approaches with true multi-component reasoning that adapts to new situations.
Skymel ADK utilizes a multi-component reasoning engine, cross-validating reasoning steps with Multi-LLM cores, while employing traditional AI models as guardrails (for example, tool selection is carried out by a classifier). This improves upon Single LLM agentic brains by reducing hallucinations, goal drift, and increasing agentic workflow completion rates.
Agent configuration utilizes simple JSON to define the agent's purpose, tools (if any), and constraints. The platform handles workflow generation, model routing, and fallback management without requiring dev involvement at all. Built-in monitoring provides step-level logs, cost tracking, and automatic budget controls.
Additionally, the multi-component reasoning engine learns from every execution, improving decision-making over time based on real outcomes. The system goes beyond neurosymbolic approaches with true multi-component reasoning that adapts to new situations.
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Releases
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Sep 16, 2025
Neetu Pathak
Skymel ADK lets you build production-ready AI agents by describing them in plain English. It auto-creates the execution plan, selects models and tools, routes requests, and manages fallbacks—then continually tunes for speed, cost, and quality. Run on-device, in the cloud, or hybrid, based on your privacy and performance needs. Install the SDK, init ADK, and swap your API calls—done.
1.0.0 - 2025-01-16
🎉 Initial Release
We're excited to announce the first public release of Skymel - the simplest way to build the smartest AI agents with multi-component brain architecture.
✨ Features
Core Platform
Multi-Component Brain Architecture: Revolutionary approach beyond traditional neurosymbolic systems, featuring true multi-component reasoning that learns and adapts
Self-Healing Agents: Automatic error detection and recovery without manual intervention
Dynamic Workflow Generation: Natural language to workflow conversion with custom execution plans for each task
ECGraph Technology: Advanced execution control graph for language understanding, tool-use decisions, and context maintenance
Agent Development Kit (ADK)
JavaScript SDK (skymel-adk-js-beta): Full-featured SDK for Node.js and browser environments
Python SDK - Coming Soon
Simple Configuration: JSON-based agent definition with purpose, tools, and constraints
No-Code Deployment: One-click deployment from configuration to production
1.0.0 - 2025-01-16
🎉 Initial Release
We're excited to announce the first public release of Skymel - the simplest way to build the smartest AI agents with multi-component brain architecture.
✨ Features
Core Platform
Multi-Component Brain Architecture: Revolutionary approach beyond traditional neurosymbolic systems, featuring true multi-component reasoning that learns and adapts
Self-Healing Agents: Automatic error detection and recovery without manual intervention
Dynamic Workflow Generation: Natural language to workflow conversion with custom execution plans for each task
ECGraph Technology: Advanced execution control graph for language understanding, tool-use decisions, and context maintenance
Agent Development Kit (ADK)
JavaScript SDK (skymel-adk-js-beta): Full-featured SDK for Node.js and browser environments
Python SDK - Coming Soon
Simple Configuration: JSON-based agent definition with purpose, tools, and constraints
No-Code Deployment: One-click deployment from configuration to production
Show more
March 11, 2025
Neetu Pathak
Initial release of Skymel ADK (Agent Development Kit).
Pricing
Pricing model
Paid
Paid options from
$25
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Skymel ADK (Agent Development Kit) was manually vetted by our editorial team and was first featured on March 11th 2025.
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839,945636v1.6 released 16d agoFree + from $12/moReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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12,37594v2.1 released 2mo agoFree + from $45/moThis is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
Pros and Cons
Pros
Automatic model selection
Intelligent request routing
Unified error handling
Zero maintenance required
Intelligent optimization for every request
Flexible deployment options: device-only, cloud-only or hybrid
Continuously optimizes performance
Monitors response time, cost per call, output quality
Adjusts model switch and traffic routing
Intelligent model selection improves performance and reduces costs
Automatically updated tool integration and custom actions
Effortless SDK installation
Manages your privacy needs
Single line of code application
Visual Analysis
Voice Interface
Performance metrics via intelligent model selection
Intelligent workflows
Performance Optimization
Privacy to performance balance
Real-time performance maximization
Lower API costs
2x-10x better performance
Supports all models and providers
One agent for everything
Works with existing API keys
Advanced configuration options
Automated maintenance
Intelligent request routing
Quality, cost, latency optimization
Auto-upgraded capabilities
Zero changes for new capabilities
Intelligent content creation
Vision & Analysis capabilities
Simplified integration process
Reduction in API call latency
Increased flexibility and efficiency with existing API access
View 32 more pros
Cons
No offline functionality specified
Tri-modal execution complexity
Depends on continuous monitoring
Unclear model switch criteria
Potentially intrusive performance tracking
Undefined response time metric
Unclear error handling process
No explicit security measures
Lack of user customization
Assumed optimal privacy-performance balance
View 5 more cons
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Q&A
What is Skymel OA?
Skymel OA is an AI Orchestration Agent designed to streamline and enhance the performance of AI integrations. It provides intelligent optimization for every request and offers various capabilities including automatic model selection, intelligent request routing, unified error handling, and automated maintenance. Skymel OA is known for its flexible deployment options, continuous optimization features, broad application range in AI, and simplified kit installation process.
What is the benefit of automatic model selection in Skymel OA?
The automatic model selection in Skymel OA offers the major benefit of improving performance and reducing costs. By intelligently choosing the optimal model for executing each request, Skymel OA maximizes output quality and response time, and it also lowers API costs by ensuring efficient resource usage. This decision-making process considers factors like task requirements, available resources, and user privacy needs.
How does Skymel OA handle error handling?
Skymel OA handles error handling through a unified error system, replacing the tradition of dealing with provider-specific errors. The system is designed to manage, rectify, and prevent errors without requiring manual intervention, reducing the constant maintenance overhead.
What is Intelligent request routing in Skymel OA?
Intelligent request routing in Skymel OA involves smartly directing requests to maximize performance and efficiency. Depending on the nature and requirements of the task, Skymel OA routes the request to the optimal model, and can further distribute processing between the device and the cloud. This strategic routing leads to efficient resource usage, faster response times, and lower costs.
Can Skymel OA be used for device-only deployment?
Yes, Skymel OA supports device-only deployment as one of its options. This allows users to use the tool on their device without necessarily having a cloud connection. Skymel OA's flexibility also extends to supporting cloud-only and hybrid execution methods, based on user needs for privacy and performance.
How does Skymel OA perform continuous optimization?
Skymel OA performs continuous optimization through real-time monitoring of response time, cost per call, and output quality. Based on the data acquired, it makes necessary adjustments such as switching models and routing traffic for optimal results. This proactive approach allows Skymel OA to consistently maximize performance and minimize costs, and react quickly to changes in factors influencing performance.
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