964 related articles

Deep dive into Google's open-source google/skills project with 16,000+ GitHub stars—an official AI Agent skill library providing standardized capability modules for the Google ecosystem.

Meta launches Muse Code, a terminal AI agent powered by Muse Spark 1.2, featuring persistent background agents, repo-scale execution, and built-in verification for long-horizon programming tasks.

Deep dive into Cloudflare OS's technical architecture and strategic positioning—how it leverages its global edge network, Workers runtime, and Durable Objects to provide low-latency, secure environments for AI agents.

Arbyn is an AI customer service tool for Shopify that not only auto-replies to inquiries but directly executes refunds, cancels orders, and updates addresses. A deep dive into its capabilities and pricing.

Soloop is an approval-first AI agent OS for solo founders, using AI CEO, CTO, and CMO roles to help indie entrepreneurs go from idea to revenue while retaining decision-making control.

GitHub Trending Aug 8: Self-evolving agent prime-agent surges 2293 stars, swarm intelligence and distributed Agent infrastructure dominate the charts.

Deep analysis of Microsoft's AI strategy: from OpenAI investment and Copilot ecosystem to autonomous agents, examining how Microsoft builds full-stack advantages in the tech giant AI race.

Exploring the Agentic IDE concept: a self-building, self-iterating intelligent development environment. A deep analysis of how AI programming tools evolve from passive assistance to autonomous evolution.

Qwen 3.8 Max tops the Artificial Analysis Agentic Index ahead of Opus 5. Reddit debates the gap between benchmark scores and real-world agent performance, and what it means for local deployment.

Testing 13 search API pricing configs reveals the hidden second cost in AI Agent and RAG systems—LLM token fees for reading search payloads. Learn to calculate true full-pipeline costs.

Users report Model Council frequently showing 'Answer stopped before finishing' errors and slow responses. This article analyzes technical causes and offers practical solutions.

The linus-torvalds-skill project distills Linus Torvalds's code review style from 32,000 kernel mailing list emails into an AI Agent-callable skill, with open pipeline and multi-model experiments.

Tencent's Hyra research agent and Hy3 model substantively contributed to solving the nearly 50-year-old optimal exponent problem relating sumsets and difference sets, marking AI's shift from computational tool to mathematical discovery partner.

Deep dive into how ngrok AI Gateway manages OpenAI, Anthropic, and self-hosted models through unified keys and entry points, delivering observability, access control, and fallbacks for production AI.

Deep analysis of open-source Agentic-first CRM design philosophy and architecture. How AI agents reshape CRM, compared to Salesforce, with open-source advantages in data sovereignty and cost control.

A six-run task-size benchmark tests whether Codex Skills actually save tokens. Data reveals cost-benefit performance across different task complexities.

During enterprise voice AI migration, parallel operation periods often encounter context loss and unstable handoff routing. This article analyzes core pain points through real cases and provides practical solutions.

Should AI Agent reliability verification be built in-house or outsourced? An open-source author's candid question sparks industry reflection on eval frameworks.

Deep analysis of Prime Agent's RLM architecture, exploring how self-improving AI agents achieve continuous evolution through runtime feedback loops.

Deep dive into Firstmate's multi-agent collaborative development model: orchestrating a specialized AI team through a single conversational entry point, covering the full pipeline from requirements to delivery.