- Developers: Creating and managing multi-model AI agents from one platform.
- Startups: Building scalable, AI-driven applications with minimal overhead.
- Enterprises: Integrating multi-agent systems into business operations.
- Researchers: Experimenting with hybrid AI architectures and learning models.
- AI Engineers: Developing intelligent agents for automation or analysis.
- Consultants: Providing AI agent deployment services for clients.
How to Use It?
- Create an Account: Access the Skymel ADK and dashboard.
- Select Model Stack: Choose AI models like GPT, Gemini, or Claude.
- Define Agent Tasks: Assign goals and knowledge sources for the agent.
- Deploy Agents: Run them across cloud or private infrastructures.
- Monitor Performance: Track responses, data accuracy, and system reliability.
- Iterate & Scale: Train, refine, and expand your agent network.
- Multi-Model AI Architecture: Combines several LLMs for complex reasoning.
- Agent Development Kit: Provides a full framework for custom AI agent creation.
- Enterprise Scalability: Designed for professional-grade deployments.
- Custom Agent Personalization: Build AI agents aligned with brand and task goals.
- Data Privacy & Security: Ensures controlled access and secure processing.
- Supports multiple AI models simultaneously.
- Powerful customization and developer control.
- Strong enterprise and research capabilities.
- Innovative approach to multi-agent collaboration.
- Comprehensive monitoring and analytics dashboard.
- Complex for non-developers to set up.
- Some advanced features limited to enterprise users.
- Documentation could be more beginner-friendly.
- Pricing details are not fully transparent.
Starter
$ 25.00
Multi-model reasoning engine
Web search & web fetch tools
Community support
First month FREE agent execution
Professional
$ 499.00
Extended tool library (database, APIs, file system)
Priority support
Team collaboration
Custom integrations
First month FREE agent execution
Enterprise
Custom
On-premise deployment
Dedicated support
SLA guarantees
Custom models
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Both — it serves individual developers and enterprise teams building AI agents.
Yes — Skymel’s ADK supports GPT, Claude, Gemini, and others in one system.
Yes — best suited for technical users or development teams.
Yes — all processing occurs in secure, controlled environments.
Yes — Skymel allows the creation and deployment of fully customized agents.
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Agent Development Kit (ADK) is a flexible, open-source framework from Google for developing and deploying AI agents, optimized for Gemini and the Google ecosystem but model-agnostic and compatible with other frameworks. It treats agent development like software engineering with modular components for single or multi-agent systems, supporting hierarchical coordination, LLM-driven delegation, and rich tools including pre-built like search and code execution, custom functions, third-party integrations, and agents as tools. Developers benefit from workflow orchestration via Sequential, Parallel, Loop agents or dynamic LlmAgent transfer, built-in evaluation of responses and trajectories, native multimodal streaming for text/audio, CLI and Developer UI for debugging/visualization, containerized deployment to Vertex AI Agent Engine, Cloud Run, or Docker, and security patterns for safe agents. Available in Python, TypeScript, Go, Java with quick starts.
Agent Development Kit (ADK) is a flexible, open-source framework from Google for developing and deploying AI agents, optimized for Gemini and the Google ecosystem but model-agnostic and compatible with other frameworks. It treats agent development like software engineering with modular components for single or multi-agent systems, supporting hierarchical coordination, LLM-driven delegation, and rich tools including pre-built like search and code execution, custom functions, third-party integrations, and agents as tools. Developers benefit from workflow orchestration via Sequential, Parallel, Loop agents or dynamic LlmAgent transfer, built-in evaluation of responses and trajectories, native multimodal streaming for text/audio, CLI and Developer UI for debugging/visualization, containerized deployment to Vertex AI Agent Engine, Cloud Run, or Docker, and security patterns for safe agents. Available in Python, TypeScript, Go, Java with quick starts.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai