“ai-agents”
The "Tool-Discovery" Protocol: How Gemini 3 Agents Find and Map New Capabilities
Build truly autonomous, self-expanding AI applications using the Tool-Discovery Protocol. Learn how Gemini 3 agents dynamically browse, map, and bind new API capabilities on the fly.
Telegram AI Bot: Building Modular Agents with ADK-Rust and Teloxide
Discover how to build a modular, extensible AI-powered Telegram bot using the ADK-Rust framework and Teloxide, featuring persistent sessions, tool modularity, and a modern TUI.
Mastering the Agents CLI: Your Gateway to Enterprise-Grade AI Agents
Learn how to build, evaluate, and deploy enterprise-ready AI agents using the Google Agents CLI (ADK).
Mastering the adk-cli: A Powerful Launcher for Your Rust AI Agents
Explore the features and capabilities of adk-cli, the essential command-line launcher for building, serving, and deploying Rust-based AI agents with ease.
The A2A Economy: Integrating Crypto Payments with Gemini 3 Agent Services
How to build autonomous agents that can pay each other for services using cryptocurrency in the Gemini 3 ecosystem.
Agentic RAG: Leveraging Gemini 3's Reasoning for Zero-Index Data Retrieval
How to move beyond traditional vector-based RAG using the reasoning capabilities of Gemini 3 for zero-index data retrieval.
Autonomous DevOps: Setting up a Self-Healing CI/CD with Gemini 3 Agents
How to leverage the reasoning power of Gemini 3 to create a truly autonomous, self-healing CI/CD pipeline.
Building "Digital Twin" Agents: Synchronizing App State with Gemini 3 Multimodal Streams
How to create AI agents that act as "Digital Twins" of your application, synchronized in real-time via Gemini 3 multimodal streams.
Gemini 3: A Deep Dive into the 10M+ Token Context Window and Infinite Memory
Exploring the revolutionary 10 million token context window of Gemini 3 and how it enables infinite memory for AI agents.
PydanticAI vs. Gemini 3 Native Tools: Choosing the Right Framework
A comprehensive comparison between PydanticAI and the native agentic tools of Gemini 3 for building high-performance AI agents.
Building the Agentic Mesh: Mastering A2A Communication with adk-rust
Learn how to build a multi-agent system where specialized AI agents collaborate through the Agent-to-Agent (A2A) protocol using adk-rust.
Beyond Code-First: Mastering Spec-Driven Development with SpecKit
An introduction to Spec-Driven Development and the Spec Kit toolkit.
RustFS MCP Server: High-Performance S3 Storage for AI Agents
Discover RustFS MCP Server, a high-performance tool providing AI/LLM assistants with standardized, secure access to S3-compatible object storage operations.
Mastering Agent Skills with adk-skill in Rust
Learn how to parse, index, match, and inject AgentSkills dynamically into your ADK-Rust applications using the adk-skill crate.
The ADK-Rust Tool Ecosystem: Empowering Your AI Agents
Discover the extensive and extensible tool ecosystem in ADK-Rust, from custom functions and browser automation to dynamic UI generation and MCP support.
FunctionTools vs. McpTools in ADK-Rust: Which Should You Use?
Understand the differences between custom Rust FunctionTools and standardized MCP tools for extending your AI agents.
Choosing the Right Multi-Agent Pattern: Balancing Complexity and Cost
Explore the primary multi-agent patterns—from single agents to sophisticated coordinators—and learn how to choose the right one for your AI project based on task complexity and budget.
Automate Your Pull Request Reviews with a Custom AI Agent
Build a custom AI agent to automatically review pull requests, check for code quality, and suggest improvements.
vdesk: Visualizing AI Agent Activities in a Retro 16-bit Office
Explore vdesk, an experimental project that brings AI agent internal states to life in a nostalgic 16-bit virtual office environment.
Stop Paying Thousands! Build Your Own Local AI Agent: The Secret Agencies Won’t Tell You
Discover how to build powerful local AI agents on your own hardware, saving money and keeping your data private.
Designing Agent Skills for DevOps and Platform Teams
A practical design approach for Agent Skills in DevOps contexts, focusing on reducing operational errors, enforcing standardized procedures, and maintaining strong security controls.
Designing Agent Skills for Enterprise Environments
A comprehensive guide on balancing operational efficiency, standardized architecture, and security when designing AI Agent Skills for organizations.
Managing Agent Data Access and Permissions in the Enterprise
A comprehensive guide to building secure and capable AI agents using Defense in Depth, Sandboxing, and Organizational Governance.
Integrating vLLM with Google ADK: A High-Performance Local LLM Guide
Learn how to leverage vLLM to host high-performance local LLMs and integrate them seamlessly with Google ADK using LiteLLM.
Multi-Agent Technical Book Publishing System: Automating the Lifecycle with Google ADK
Explore a production-grade implementation for automating the lifecycle of a technical book using the Google Agent Developer Kit (ADK), featuring a layered cognitive approach with specialized agents.
Understanding Parallel Agents in Google ADK
Learn how Parallel Agents in Google ADK leverage concurrency to speed up complex workflows and manage independent sub-agents efficiently.
Semantic Layer: The Critical Bridge Between AI Agents and Enterprise Data
Exploring how a Semantic Layer acts as an architectural bridge, allowing AI agents to interact with enterprise data safely, accurately, and with business awareness.
Introduction to Agent-to-Agent (A2A) Protocol in Google ADK
Explore the Agent2Agent (A2A) Protocol in Google ADK, understanding when to use remote agents over local sub-agents to build scalable, multi-agent systems.
Exploring the Ecosystem of Google ADK Integrations
A comprehensive overview of the tools and integrations available in the Google Agent Development Kit (ADK) to supercharge your AI agents.
Creating Effective File-Based Skills
A comprehensive guide on creating file-based skills for AI agents, covering the structure of SKILL.md and best practices for writing custom scripts.
AI Agents: The New Era of Digital Colleagues
Exploring the shift from conversational chatbots to goal-oriented AI agents and their role as digital colleagues in the modern workplace.
Loop Agent in Google ADK
An in-depth look at the Loop Agent in Google ADK, a workflow agent that executes sub-agents iteratively for tasks requiring repetition and refinement.
The Rise of Digital Coworkers: Navigating the Era of Enterprise AI Agents
Exploring how AI Agents are evolving from chatbots into digital coworkers that drive organizational efficiency through planning and execution.
Understanding Agent Skills
Discover how Agent Skills provide a lightweight, open format to extend AI agent capabilities with specialized workflows.
Enabling Agent-to-Agent (A2A) Support in PydanticAI
Learn how to expose your PydanticAI agents as Agent2Agent (A2A) protocol compliant servers for seamless interoperability.
Integrate FastMCP with FastAPI Applications
Discover how to effortlessly generate Model Context Protocol (MCP) servers from existing FastAPI applications or mount MCP endpoints within them using FastMCP.
Mastering the Web UI in PydanticAI: Local Debugging Made Easy
Learn how to quickly set up and use the built-in Web Chat UI for local development and debugging with PydanticAI agents.
Unlocking Complexity: A Guide to Multi-Agent Systems
Explore the power of Multi-Agent Systems (MAS) and how the Agent Development Kit (ADK) enables the creation of sophisticated, modular, and reusable AI applications.