Build reliable multi-agent applications with ADK Go 2.0. Discover our new graph-based workflow engine, built-in human-in-the-loop, and dynamic orchestration
ADK for Go 2.0: build agent workflows as a graphBuilding real-world agent applications is rarely as simple as sending a single prompt. Production agents must classify, branch, fan out, ask a human to approve something, retry on failure, and loop until done. Expressing that complex orchestration as ad-hoc control flow gets brittle fast.Since its 1.0 release, Agent Development Kit (ADK) for Go has helped Go developers build production agents with a clean, idiomatic API — strong typing, iter.Seq2 event streams, and a runtime that fits naturally into existing Go services.
- ▪ADK for Go 2.0: build agent workflows as a graphBuilding real-world agent applications is rarely as simple as sending a single prompt.
- ▪Production agents must classify, branch, fan out, ask a human to approve something, retry on failure, and loop until done.
- ▪Expressing that complex orchestration as ad-hoc control flow gets brittle fast.Since its 1.0 release, Agent Development Kit (ADK) for Go has helped Go developers build production agents with a clean, idiomatic API — strong typing, iter.Seq2
Google Developers Blog files mainly under programming. We currently carry 20 of its stories.
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| Original publisher | Google Developers Blog |
| Canonical URL | https://developers.googleblog.com/announcing-adk-go-20/ |
| Publication time | Not provided by source |
| Retrieval time | 2026-07-25T23:18:53.148Z |
| Last seen | 2026-07-25T23:19:03.099Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | RtxXGdalX_gf |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ADK for Go 2.0: build agent workflows as a graphBuilding real-world agent applications is rarely as simple as sending a single prompt. Production agents must classify, branch, fan out, ask a human to approve something, retry on failure, and loop until done. Expressing that complex orchestration as ad-hoc control flow gets brittle fast.Since its 1.0 release, Agent Development Kit (ADK) for Go has helped Go developers build production agents with a clean, idiomatic API — strong typing, iter.Seq2 event streams, and a runtime that fits naturally into existing Go services. That foundation has been a real success, and it's exactly what made the next step possible.Today we're excited to share ADK for Go 2.0.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Google Developers Blog.
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