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Bring state-of-the-art agentic skills to the edge with Gemma 4Supporting Google Account username change in your appDeveloper’s Guide to Building ADK Agents with SkillsADK Go 1.0 Arrives!Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and Ma...Announcing ADK for Java 1.0.0: Building the Future of AI Agents in JavaClosing the knowledge gap with agent skillsJump to play: Building with Gemini & MediaPipeBuild a smart financial assistant with LlamaParse and Gemini 3.1Developer’s Guide to AI Agent ProtocolsAnnouncing the Colab MCP Server: Connect Any AI Agent to Google ColabPlan mode is now available in Gemini CLIIntroducing Finish Changes and Outlines, now available in Gemini Code Assist extensions on...Unleash Your Development Superpowers: Refining the Core Coding ExperienceIntroducing Wednesday Build HourWhat's new in TensorFlow 2.21You can't stream the energy: A developer's guide to Google Cloud Next '26 in VegasHow we built the Google I/O 2026 Save the Date experienceSupercharge your AI agents: The New ADK Integrations EcosystemOn-Device Function Calling in Google AI Edge GalleryTorchTPU: Running PyTorch Natively on TPUs at Google ScaleGet ready for Google I/O: Livestream schedule revealedNew enhancements for merchant initiated transactions with the Google Pay APIBuild Better AI Agents: 5 Developer Tips from the Agent Bake-OffBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondProduction-Ready AI Agents: 5 Lessons from Refactoring a MonolithSubagents have arrived in Gemini CLIBuild Long-running AI agents that pause, resume, and never lose context with ADKMaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUsAgents CLI in Agent Platform: create to production in one CLIBring state-of-the-art agentic skills to the edge with Gemma 4Supporting Google Account username change in your appDeveloper’s Guide to Building ADK Agents with SkillsADK Go 1.0 Arrives!Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and Ma...Announcing ADK for Java 1.0.0: Building the Future of AI Agents in JavaClosing the knowledge gap with agent skillsJump to play: Building with Gemini & MediaPipeBuild a smart financial assistant with LlamaParse and Gemini 3.1Developer’s Guide to AI Agent ProtocolsAnnouncing the Colab MCP Server: Connect Any AI Agent to Google ColabPlan mode is now available in Gemini CLIIntroducing Finish Changes and Outlines, now available in Gemini Code Assist extensions on...Unleash Your Development Superpowers: Refining the Core Coding ExperienceIntroducing Wednesday Build HourWhat's new in TensorFlow 2.21You can't stream the energy: A developer's guide to Google Cloud Next '26 in VegasHow we built the Google I/O 2026 Save the Date experienceSupercharge your AI agents: The New ADK Integrations EcosystemOn-Device Function Calling in Google AI Edge GalleryTorchTPU: Running PyTorch Natively on TPUs at Google ScaleGet ready for Google I/O: Livestream schedule revealedNew enhancements for merchant initiated transactions with the Google Pay APIBuild Better AI Agents: 5 Developer Tips from the Agent Bake-OffBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondProduction-Ready AI Agents: 5 Lessons from Refactoring a MonolithSubagents have arrived in Gemini CLIBuild Long-running AI agents that pause, resume, and never lose context with ADKMaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUsAgents CLI in Agent Platform: create to production in one CLI

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Bring state-of-the-art agentic skills to the edge with Gemma 4

Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Google AI Edge Gallery for experimenting with "Agent Skills" and the LiteRT-LM libra...

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ADK Go 1.0 Arrives!

The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to productio...

▶ Tages-Digest — 27. Juni 2026 131 Artikel, 13 relevant
# KI-Tagesüberblick 2026-06-27

Highlights

1. OpenAI stellt GPT-5.6 Sol vor — OpenAI hat sein neues Flaggschiffmodell [GPT-5.6 Sol angekündigt](https://openai.com/index/previewing-gpt-5-6-sol), das Anthropics Claude Mythos 5 in Coding-Benchmarks übertrifft. Der Zugang bleibt vorerst auf ausgewählte Partner beschränkt – eine Folge von Druck durch die US-Regierung, den OpenAI [kritisch kommentiert](https://the-decoder.de/openai-stellt-gpt-5-6-sol-vor-und-uebertrifft-claude-mythos-in-zentralen-benchmarks/).

2. Anthropic bringt Mythos 5 zurück — Nach zwei Wochen Verhandlungen mit der Trump-Administration ist [Anthropics Mythos 5 nun wieder verfügbar](https://www.theverge.com/ai-artificial-intelligence/958458/anthropic-mythos-5-is-back-trump-negotiations), nachdem die Kontrollen gelockert wurden.

3. Intelligentes Model Routing für Coding-Agenten — [Ein neuer Router](https://github.com/workweave/router) leitet Anfragen intelligent an das beste verfügbare Modell weiter und senkt damit die Kosten für Teams, die mit Claude Code, Cursor und anderen Tools arbeiten.

4. Chinesische KI-Modelle schließen Lücke — [Laut New York Times](https://www.nytimes.com/2026/06/25/technology/zai-china-artificial-intelligence-models.html) schließen chinesische KI-Modelle den Leistungsabstand zu Anthropic und OpenAI.

## Modell-Updates

- Claude Code v2.1.195 — [Neue Version](https://github.com/anthropics/claude-code/releases/tag/v2.1.195) mit verbessertem Hook-Matching für hyphenisierte Identifikatoren und Fixes für Voice Dictation auf macOS.
- Claude Agent SDK TypeScript v0.3.195 — [Update](https://github.com/anthropics/claude-agent-sdk-typescript/releases/tag/v0.3.195) mit Query-Reinitialisierung und Bugfixes für Event-Emission.

## Tool-Releases

- Ollama v0.30.11 — [Version](https://github.com/ollama/ollama/releases/tag/v0.30.11) mit automatischer Claude Code-Installation und Thinking-Capability-Detection.
- CrewAI v1.15.1a1 — [Alpha-Release](https://github.com/crewAIInc/crewAI/releases/tag/1.15.1a1) mit verbessertem Telemetrie-Tracking und SSRF-Sicherheitsfix.

## Forschung & Entwicklung

- Self-Improving Agent Skills mit cognee und n8n — [Blog-Artikel](https://blog.n8n.io/skill-loop/) zur Integration von selbstlernenden Agent-Fähigkeiten in Workflows.
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