5GitHub Trending (AI/LLM filtered)·
Google ADK Python: open-source toolkit for building and deploying AI agents
Google has released an open-source Python toolkit called ADK (Agent Development Kit) for building, evaluating, and deploying AI agents. The repository has accumulated over 20,000 GitHub stars, indicating significant community traction. The toolkit targets developers who want code-first control over agent construction and deployment workflows.
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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.
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.
Google releases agents-cli: CLI tooling for creating, evaluating, and deploying AI agents on Google Cloud
Google has published agents-cli, an open-source Python CLI tool and skills library designed to extend coding assistants with capabilities for building, evaluating, and deploying AI agents on Google Cloud. The repository is trending on GitHub with 3,948 total stars and 433 new stars today, suggesting meaningful developer interest. The tool positions Google Cloud as a deployment target for agent workflows and integrates with existing coding assistant toolchains.
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.
Microsoft RD-Agent: automated AI-driven R&D for data and model development
Microsoft has released RD-Agent, an open-source Python framework aimed at automating high-value R&D processes in AI, with a focus on data and model development. The project positions AI as the driver of data-driven AI workflows, targeting industrial productivity use cases. With 13,500 GitHub stars, it has attracted meaningful community interest, and a technical report is available.
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.
pydantic/pydantic-ai: AI Agent Framework Trending on GitHub
pydantic-ai is an open-source AI agent framework built by the Pydantic team, applying Pydantic's data validation patterns to AI agent construction. The repository has accumulated 17,238 stars with modest daily momentum (+16 today). It represents a community-level signal of interest in structured, type-safe agent tooling in Python.
Microsoft agent-framework: open-source library for building and orchestrating AI agents
Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.