Top Story
[Release] anthropics/claude-code v2.1.218: v2.1.218
Claude Code v2.1.218 introduces significant improvements to code review workflows, accessibility features, and bug fixes. Key changes include running `/code-review` as a background subagent to reduce conversation clutter, enhanced screen-reader support with deletion announcements, and fixes for critical issues like Windows path corruption and multi-line paste handling. The release also improves error handling, trust dialogs, and agent configuration validation while refining auto-mode behavior and MCP server connectivity reporting.
- Code review now runs as background subagent, keeping conversation clean while maintaining stacked slash commands as review targets
- Enhanced accessibility: screen-reader announcements added for text deletions (Option+Delete, Ctrl+W, Cmd+Backspace, Ctrl+U, Ctrl+K)
- Fixed Windows path corruption where \u-prefixed segments (e.g., C:\Users\unicorn) were converted to CJK characters, making files inaccessible
- +7 more key points...
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Agent Teams
See all 6 →Goose, Hermes и OpenClaw: чем отличаются эти AI-агенты и какой выбрать?
Comparison of three AI agents: Goose, Hermes, and OpenClaw, each designed for different use cases. Goose excels at file manipulation, code editing, and terminal operations. Hermes focuses on conversational AI and reasoning tasks. OpenClaw specializes in web automation and complex workflows. The choice depends on your specific needs: file/code work, conversation, or web interaction.
qsz
Yapay Zeka Ajanları Nasıl Çalışır? En İyi YZ Çerçeveleri (LangChain, CrewAI, AutoGen)
This Turkish-language content explores how AI agents work and compares three major AI agent frameworks: LangChain, CrewAI, and AutoGen. It addresses the challenge of automating complex tasks using AI agents and helps developers choose the right framework for their needs. The guide covers the fundamentals of AI agent architecture and practical implementation considerations for each framework.
AI Consultant
AI Moderasi Komentar YouTube Otomatis dengan Multi-Agent LLM (AutoGen + Ollama)
This video demonstrates building an automated YouTube comment moderation system using multi-agent LLM architecture with AutoGen and Ollama. The system leverages multiple specialized AI agents working together to analyze, classify, and moderate comments at scale. It covers the design principles, implementation details, and integration of local LLMs for privacy-preserving content moderation without relying on external APIs.
Wisnu Nugroho
Skills & Tools
See all 4 →What is Google ADK? Agent Development Kit 2.0 Explained #Shorts
Google ADK (Agent Development Kit) is an open-source framework for building AI agents, with version 2.0 introducing graph-based workflows. ADK 2.0 enables developers to create more sophisticated agent architectures using visual workflow graphs. The framework simplifies agent development by providing pre-built components and structured patterns for defining agent behavior and interactions.
Decoding GCP with Ankur
Engineer AI Agents with Agent Development Kit (ADK): Challenge Lab GSP540 | 100% Solution
This is a complete solution guide for Google Cloud's Engineer AI Agents with Agent Development Kit (ADK) Challenge Lab (GSP540). The content covers building and deploying AI agents using Google Cloud's ADK framework. It provides step-by-step instructions for implementing agent functionality, configuring tools and integrations, and completing the lab requirements. The guide demonstrates practical techniques for agent development on the Google Cloud platform.
Cloud Skills Matrix
Speed Your Workflow w/OpenClaw: How it Works in 2 mins!
OpenClaw is a cross-platform AI assistant tool designed to speed up workflows across any operating system and platform. This short video introduces the core concept and value proposition of OpenClaw as a personal AI assistant. The tool aims to streamline productivity by providing AI-powered assistance regardless of the user's technical environment.
AI Quick Tips & Tricks
MCP Servers
[Release] langchain-ai/langchain langchain-openrouter==0.2.7: langchain-openrouter==0.2.7
langchain-openrouter version 0.2.7 has been released with updates since 0.2.6. The release primarily consists of routine maintenance work including multiple model profile data refreshes and dependency lockfile updates. No breaking changes or major feature additions are documented in this release.
github-actions[bot]
Building a Local AI Assistant with OpenClaw: Linux Installation and Ollama Integration
This tutorial demonstrates how to install OpenClaw on Linux and integrate it with Ollama for running a locally hosted AI model. The guide covers the complete setup process, enabling users to build a private AI assistant that runs entirely on their local machine without relying on external cloud services. By combining OpenClaw's interface with Ollama's model management, users can create a fully self-contained AI development environment.
Al's AI Rack
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