ADK-TS
ADK-TS is a TypeScript-native, production-ready framework for building hierarchical, multi-agent AI systems with built-in tool integration, memory services, and real-time streaming.
ADK-TS is ai software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: AI Agents
What it does
AI software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
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ADK-TS
ADK-TS is a TypeScript-native framework designed to build sophisticated, production-ready AI agents and multi-agent workflows. It provides a fluent AgentBuilder API for rapid agent creation, multi-LLM support (OpenAI, Google Gemini, Anthropic Claude, AI SDK models and more), and enterprise-grade capabilities such as session management, memory services, streaming, and artifact handling. The framework targets developers and organizations building hierarchical, tool-enabled agent systems with TypeScript's type safety and modern developer tooling.
Comprehensive framework for building sophisticated AI agents with multi-LLM support, advanced tool integration, memory systems, and flexible conversation flows.
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Claim this listingKey Features
AgentBuilder API
Fluent interface for rapid agent creation with zero boilerplate; supports one-line agents as well as complex workflows.
Multi-LLM Support
Unified interface to switch between OpenAI, Google Gemini, Anthropic Claude, AI SDK models and more.
Production-ready Components
Built-in session management, memory services, streaming, and artifact handling designed for enterprise deployment.
Advanced Tooling
Support for custom tools, function integration, Google Cloud tools, MCP support, and automatic schema generation.
Multi-Agent Workflows
Orchestrate complex workflows with parallel, sequential, and hierarchical agent architectures.
Developer Experience
TypeScript-first design with IntelliSense-friendly APIs, comprehensive examples, and guided documentation.
Memory Services
Integrate vector memory services into agents for persistent context and retrieval.
Real-time Streaming
Support for streaming responses and real-time agent interactions.
Pricing
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Use Cases
Conversational Assistants
Build helpful AI assistants with session management, instructions, and tool access (search, HTTP) for real-time user interactions.
Research & Analysis Workflows
Compose multi-agent research pipelines (sequential or parallel) to analyze market trends, aggregate findings, and produce summaries.
Enterprise Automation
Deploy production-ready agent systems with memory, artifact handling, and integration with cloud tools for business workflows.
Tool-Augmented Agents
Create agents that call external tools (GoogleSearchTool, HttpRequestTool, custom tools) and integrate results into agent reasoning.
Integrations
OpenAI / Google Gemini / Anthropic / AI SDK models
Supported LLM providers that can be swapped via the unified interface.
GoogleSearchTool
Example tool for web search integration within agents.
HttpRequestTool
Example tool for making HTTP requests from agents.
Google Cloud tools & MCP
Mentions support for Google Cloud tools and MCP servers for deployment/integration.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Install the package: npm install @iqai/adk or equivalent
- 2 Choose and configure your LLM provider (OpenAI, Google Gemini, Anthropic, AI SDK models, etc.)
- 3 Import AgentBuilder, create an agent or workflow, add tools and memory, then call .ask() or .build() to run
Support
docs
Comprehensive documentation, guides, API Reference, CLI Reference and examples available on the site.
issues
Issues & Support (repository or tracking) referenced in site navigation for reporting bugs or requesting help.
community
Community discussions and contributions links available in site navigation.
newsletter
Site footer includes a newsletter sign-up option.
API
https://adk.iqai.com/
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