Google ADK Samples Repository Gains Traction on GitHub
The google/adk-samples repository is a collection of sample agents built with Google's Agent Development Kit (ADK), accumulating 9,370 total stars with 33 added today. The repository serves as a reference implementation hub for developers building agents using ADK. Its trending status signals growing community interest in Google's agent development tooling.
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Google releases 'skills' repository for agent integrations with Google products
Google has published an open-source Python repository called 'skills' providing agent skills for Google products and technologies, accumulating over 12,000 GitHub stars with strong daily momentum. The repository appears to be a collection of tool/skill definitions enabling AI agents to interact with Google's product ecosystem. High star count and rapid growth suggest significant community interest in agent tooling for Google services.
datawhalechina/hello-agents: Chinese-language agent tutorial repository trending on GitHub
A Chinese-language educational repository titled '从零开始构建智能体' (Building Agents from Scratch) covering agent principles and practice is trending on GitHub with over 56,000 stars and 479 new stars today. The project is maintained by Datawhale China, a prominent open-source AI education community. High star velocity suggests significant community interest in accessible agent-building educational content.
Databricks AI Dev Kit: Toolkit for Coding Agents
Databricks Field Engineering has published an open-source Python toolkit on GitHub aimed at coding agents, accumulating 1,555 stars. The repository appears to provide utilities and scaffolding for building AI-powered development agents on the Databricks platform. It is a community/field engineering project rather than an official product release.
Anthropic Publishes 'Agent Skills' Public Repository
Anthropic has made a public GitHub repository called 'skills' available, described as a public repository for Agent Skills. The repository has accumulated 136,679 total stars with 514 added today, suggesting significant community interest. The project appears to be a Python-based resource related to agent capabilities, though specific technical details are sparse from the available description.
K-Dense-AI/scientific-agent-skills: Ready-to-Use Agent Skills Library for Research and Engineering
A Python repository providing a collection of pre-built agent skills targeting research, science, engineering, analysis, finance, and writing tasks. The project has accumulated 24,087 stars with a notable single-day gain of 762 stars, indicating significant community traction. No detailed technical documentation is available from the snippet, but the scope suggests a modular agent tooling library.
Production Agentic RAG Course Repository Gains Traction on GitHub
A GitHub repository titled 'production-agentic-rag-course' by jamwithai has accumulated 6,158 stars with 45 added today, indicating community interest in production-grade agentic retrieval-augmented generation systems. The repository appears to be an educational resource focused on deploying agentic RAG pipelines in production environments. Its trending status reflects ongoing developer demand for practical guidance on agentic and RAG architectures.
Google Labs Releases Stitch Skills: Agent Skills Library for MCP-Compatible Coding Agents
Google Labs has published stitch-skills, a TypeScript library of Agent Skills designed to work with the Stitch MCP server. The library follows the Agent Skills open standard, enabling compatibility with multiple coding agents including Gemini CLI, Claude Code, Cursor, and Antigravity. The repository has accumulated 5,597 stars with 70 added today, indicating active community interest in the MCP/agent tooling ecosystem.
Google Gemini CLI: Open-Source Terminal AI Agent
Google has released an open-source TypeScript-based CLI tool that integrates Gemini models directly into the terminal as an AI agent. The repository has accumulated over 104,000 stars on GitHub, indicating significant community traction. It represents Google's push to provide developer-facing agentic tooling for Gemini in local/shell environments.