Cadenya
Freemium
Developers building agentic workflows
Agent Development Kit (ADK)
FreeOpen SourceAPISelf-HostedAgentic
Google's code-first framework for building multi-agent systems with structured context management and deep Vertex AI integration.
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Get This Tool
License: Apache-2.0 Any use incl. commercial
Local-run terms: Apache 2.0 license permits commercial use, modification, and distribution with attribution. Users can run ADK locally for any purpose including commercial applications.
Summary
ADK treats agent development like software engineering: sessions, memory, and tool outputs are versioned and assembled as code artifacts, making them compatible with standard CI/CD pipelines and Git workflows. It's built for teams deploying to Google Cloud infrastructure who need precise control over agent behavior rather than abstraction layers. The framework costs nothing and handles automatic filtering of irrelevant events to reduce noise in multi-agent interactions. The main catch is that while technically model-agnostic, ADK is optimized for Gemini models and Google Cloud deployment; development builds may include experimental features from trunk code.
Bottom line: *Choose this if your team lives in Google Cloud and values code-driven reproducibility; avoid if you need multi-cloud portability or prefer configuration-over-code patterns.*
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Vertex AI Agent Engine
via Google Cloud
Custom
Fully managed service for deploying and scaling ADK agents with built-in infrastructure, authentication, observability, and security
- Managed infrastructure for ADK agents
- Built-in authentication and authorization
- Cloud Trace observability and monitoring
- Enterprise-grade security
- Auto-scaling capabilities
- Cloud Run or GKE deployment options
Pricing may have changed since last verified. Check the official site for current plans.
Pricing Plans
Free- Free Tier
- No limits; open-source software can be freely deployed anywhere
Open Source
Free
Self-hosted open-source framework with no licensing costs
- Python, TypeScript, Go, and Java support
- Multi-agent system orchestration
- Built-in development UI and evaluation tools
- Code-first agent development
- Model-agnostic architecture
- Community support and contributions
View full pricing on google.github.io →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
Before you choose Agent Development Kit (ADK)
More options in Agent Frameworks. Compare pricing, platforms, and features side by side.
Brain Memory
Free · Open source
Long-term continuity in multi-session coding projects
Pros
- Context is treated like source code with structured assembly of sessions, memory, tool outputs, and artifacts, automatic filtering of irrelevant events, summarization of older turns, lazy-loading of artifacts, and token usage tracking to keep agents fast, efficient, and reliable by default
- Multi-language support with Python, TypeScript, Go, and Java implementations
- Model-agnostic and compatible with other frameworks while optimized for Gemini
- Built-in development UI for testing, evaluating, debugging, and showcasing agents
- When deploying to Google Cloud, agents inherit managed infrastructure, built-in authentication, Cloud Trace observability, and enterprise-grade security without code changes
Cons
- Optimized primarily for Google Cloud deployment and Gemini models, though model-agnostic capabilities exist
- Development version builds directly from latest code commits may contain experimental changes or bugs not present in stable release
About
- Platforms
- Python, TypeScript, Go, Java, Kotlin
- Languages
- PythonTypeScriptGoand Java
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- April 21, 2026
Best For
Who it's for
- Developers building production-grade multi-agent systems with precise control
- Teams needing code-first agent development with version control and CI/CD integration
- Organizations deploying to Google Cloud infrastructure (Vertex AI, Cloud Run, GKE)
- Projects requiring model flexibility with support for Gemini, Anthropic, Meta, and other models
- Applications combining multiple specialized agents in hierarchical workflows
What it does well
- Build intelligent agents using Large Language Models that understand natural language, reason, plan, generate responses, and dynamically decide how to proceed or which tools to use
- Control execution flow of multiple agents in predefined patterns (sequence, parallel, or loop) for structured processes needing predictable execution
- Accomplish complex, multi-step processes with a managed, repeatable task structure that can run hands-off with minimal human input, including automatic task initiation, iterative AI model requests, context management, tool calls, parallel jobs, and failure handling
- Build multi-agent systems with hierarchical agent composition and delegation
- Deploy AI agents to production with built-in observability, tracing, and enterprise-grade security
Integrations
Compare Agent Development Kit (ADK)
Frequently Asked Questions
- Is Agent Development Kit (ADK) free?
- Agent Development Kit (ADK) offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is Agent Development Kit (ADK) open source?
- Yes. Agent Development Kit (ADK) is open source — the source repository is at https://github.com/google/adk-python.
- Does Agent Development Kit (ADK) have an API?
- Yes. Agent Development Kit (ADK) exposes a developer API. See the official documentation at https://google.github.io for details.
- Can I self-host Agent Development Kit (ADK)?
- Yes. Agent Development Kit (ADK) supports self-hosting on your own infrastructure.
- When was Agent Development Kit (ADK) released?
- Agent Development Kit (ADK) was first released in 2025.
- What platforms does Agent Development Kit (ADK) support?
- Agent Development Kit (ADK) is available on: Python, TypeScript, Go, Java, Kotlin.
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Google's code-first framework for building multi-agent systems with structured context management and deep Vertex AI integration.
ADK treats agent development like software engineering: sessions, memory, and tool outputs are versioned and assembled as code artifacts, making them compatible with standard CI/CD pipelines and Git workflows. It's built for teams deploying to Google Cloud infrastructure who need precise control over agent behavior rather than abstraction layers. The framework costs nothing and handles automatic filtering of irrelevant events to reduce noise in multi-agent interactions. The main catch is that while technically model-agnostic, ADK is optimized for Gemini models and Google Cloud deployment; development builds may include experimental features from trunk code.
*Choose this if your team lives in Google Cloud and values code-driven reproducibility; avoid if you need multi-cloud portability or prefer configuration-over-code patterns.*
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