Adk Samples
Runnable ADK sample agents for graph workflows and multi-agent teams.
For developers adopting ADK 2.0, Adk Samples is the fastest route from docs to working code. It covers the new graph workflows and multi-agent collaboration that make ADK powerful, and it's kept current with the latest release. Not a standalone tool, but essential hands-on material.
Verified 3d ago · liveness 71/100 · cite: rightaichoice.com/tools/adk-samples
- Developers new to ADK who need practical, runnable examples to accelerate learning.
- Teams building multi-agent or graph-based workflows who want proven patterns.
- Prototyping agentic applications that will deploy to Google Cloud (Cloud Run, GKE).
- Engineers evaluating ADK for production use and needing a quick capability overview.
- Non-developers looking for a no-code agent builder or visual drag-and-drop interface.
- Users needing full-fledged UI or mobile agent interfaces—samples are code-centric.
- Those seeking pre-built, production-ready agents with managed hosting.
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Skip Adk Samples if you're looking for a no-code agent builder, a production-ready managed solution, or if you're not comfortable adapting code examples to your own use case.
Adk Samples is free and open-source, so it's cost-neutral for any developer or team evaluating ADK. Since it's not a product with tiers, you won't hit paywalls or overages—just invest your time in adapting the code.
In short
Adk Samples — Runnable ADK sample agents for graph workflows and multi-agent teams. Best for Developers new to ADK who need practical, runnable examples to accelerate learning., Teams building multi-agent or graph-based workflows who want proven patterns., Prototyping agentic applications that will deploy to Google Cloud (Cloud Run, GKE).. Free to use.
What's new in Adk Samples
Checked 9 days agoAcross the latest 1 update: 1 launch.
What people actually say about Adk Samples — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
8 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
- +CaMeL agent demo shows real-world prompt injection defense practical.
- +Multi-agent collaborative examples illustrate ADK's graph workflow capabilities well.
- +Free and open source—no paywall to access code.
- +Covers integration with multiple models: Gemini, Claude, Ollama, vLLM.
- +Includes streaming, human-in-the-loop, and MCP/A2A protocol examples.
- −Very little community discussion or third-party feedback available.
- −Not suitable for production use without significant adaptation.
- −ADK itself is niche and less proven than alternatives like LangChain.
- −Documentation is sparse—some samples lack detailed explanations.
- −No clear roadmap or user-visible issue tracker for the samples.
- • Running samples may incur Google Cloud compute costs
- • Model API usage fees (e.g., Gemini, Claude) if not using local models
Viability Score
How well maintained and how widely used is Adk Samples? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Graph workflow examples with routes, loops, and dynamic routing
- Collaborative multi-agent team demos
- Streaming agent examples in Python and Java
- Human input and dynamic workflow patterns
- Template workflows: sequential, loop, parallel, and custom
- Integration with Gemini, Gemma, Claude, and local models via Ollama/vLLM
- MCP and A2A protocol client/server examples
- Custom function tool demonstrations
- Skill and artifact management samples
- Session and memory state handling
- Evaluation and observability setup examples
- Google Search Grounding integration demo
- Parallel execution workflow templates
- Deployment examples for Cloud Run and GKE
- Live and voice agent examples using Gemini Live API
About Adk Samples
Adk Samples is a collection of runnable example agents built with the Agent Development Kit (ADK), Google's open-source framework for building production-grade AI agents. It's aimed at developers who want to move from reading documentation to writing working code quickly, mirroring the framework's five-language support: Python, TypeScript, Go, Java, and Kotlin. The samples highlight specific ADK capabilities—graph workflows with dynamic routing, collaborative multi-agent teams, streaming interactions in Python and Java, human-in-the-loop input, and custom tool integrations. With ADK Go 2.0 GA now live, the repository keeps pace with the latest release, offering templates for sequential, loop, parallel, and custom workflows that combine deterministic code with adaptive AI reasoning. Developers will find ready-to-run code for integrating with models like Gemini, Gemma, Claude, and local options via Ollama or vLLM, plus protocols such as MCP and A2A. Deployment examples for Google Cloud (Cloud Run, GKE) make it a practical resource for prototyping systems that can scale to enterprise traffic. The samples also cover live and voice agents using the Gemini Live API, as well as observability, evaluation, and safety configurations. Adk Samples isn't a standalone product—it's a companion resource for anyone adopting ADK. It fills the gap between docs and building your own agent, and it's kept current with the framework's own documentation and changelog. Compared to other agent example repos, this collection is uniquely focused on ADK's graph and multi-agent features, with direct paths to Google Cloud deployment. For developers evaluating agent frameworks, it's a fast way to see what ADK can do in practice.
Behind the Verdict
If you're evaluating ADK for production, Adk Samples is worth a look—not because it's polished (it's a repo of examples, not a product), but because it shows real patterns: graph workflows with routes, loops, dynamic routing, and human-in-the-loop tool confirmation. The recent Go 2.0 GA adds these features to the Go SDK, and the samples track that. We'd reach for this when you need to see how a multi-agent team or a dynamic workflow is actually assembled in Python or Go. Where it bites: there's no GUI, no managed hosting, no visual builder. It's code on a screen. If you're not comfortable reading and adapting source, this isn't for you. And while it references Claude, Gemini, Gemma, and local models via Ollama/vLLM, you'll still need your own API keys and infrastructure to run most samples. Compared to other framework sample repos (LangChain, CrewAI), Adk Samples is narrower but deeper on ADK's specifics—especially graph workflows and A2A protocol examples. If you're already committed to ADK, this is more useful than generic agent tutorials. If you're still framework-shopping, it's a quick way to gauge ADK's ergonomics, but don't expect deployment-ready agents. In practice, treat this as a companion to the official docs. Use it to unblock yourself when you hit an unfamiliar pattern—say, how to wire a custom tool or handle session state. Just don't copy-paste into production without understanding the code; these are examples, not reference implementations.
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Real-world workflow fit
Concrete scenarios for the personas Adk Samples actually fits — and what changes day-one when you adopt it.
You need to understand how to build a multi-tool agent with ADK in Python.
Outcome: You clone the repo, run the multi-tool agent sample, and see how to attach tools like Google Search and custom functions, giving you a working starting point in under an hour.
You want to compare ADK's graph workflows and multi-agent capabilities against other frameworks.
Outcome: You browse the graph workflow and agent team samples, see real code for dynamic routing and collaboration, and quickly assess whether ADK fits your architecture.
You need to prototype an agent that will run on Cloud Run with human-in-the-loop features.
Outcome: You use the human input and deployment samples to scaffold your agent, test it locally, and then deploy the example to Cloud Run, validating the path to production.
Use Cases
- Prototype a multi-tool agent that calls external APIs for data retrieval.
- Build a collaborative agent team with role-specific tasks and handoffs.
- Implement a streaming agent for real-time conversational interactions.
- Design a graph workflow with conditional routing and human approval steps.
- Integrate local models via Ollama in a custom agent for offline testing.
- Expose an agent via the A2A protocol for inter-agent communication.
- Explore evaluation and observability setups for ADK agents.
- Use template workflows to quickly scaffold sequential, loop, or parallel agent pipelines.
Models Under the Hood
as of 2026-09-01
Limitations
- The samples are not production-ready and require adaptation for specific use cases.
- They rely on ADK's current release, which may have breaking changes from earlier versions.
- The samples do not include a mobile or web UI out of the box.
as of 2026-08-25
Verification history
We have re-verified Adk Samples 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Adk Samples's pricing actually pencils out — and where peers do it cheaper.
Adk Samples is free and open-source, so it's cost-neutral for any developer or team evaluating ADK. Since it's not a product with tiers, you won't hit paywalls or overages—just invest your time in adapting the code.
Setup time & first value
How long it actually takes to get something useful out of Adk Samples — broken out by persona, not the marketing-page minute.
For a developer familiar with Python or another supported language, you can get the first sample running in about 30 minutes: clone the repo, install dependencies, and run a basic agent. Exploring all samples and adapting them to your needs takes a few hours.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Adk Samples
Common stack mates teams adopt alongside Adk Samples, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Adk Samples vs Locus Robotics
Locus Robotics and Adk Samples serve entirely different buyers — one is a physical warehouse automation platform, the other a developer learning resource for AI agents. Choose Locus if you need to improve picking productivity in a warehouse; choose Adk Samples if you are building multi-agent software on ADK. They are not direct competitors, but the comparison helps clarify the divide between robotic systems and agent development kits.
Adk Samples vs Presto Voice
These tools serve completely different needs: Presto Voice is an enterprise voice AI for QSR drive-thrus focusing on revenue, while Adk Samples is a free developer resource for learning agent frameworks. Buyers should choose based on whether they need a restaurant automation solution or agent prototyping tools.
Adk Samples vs Truleo
Choose Truleo if you're a law enforcement agency needing to connect siloed data and automate lead generation — it's a paid, purpose-built platform. Choose Adk Samples if you're a developer exploring multi-agent frameworks for free with practical code examples. These tools serve entirely different markets.
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