All articles about Ai Agents
Agent Plugins 1.0.0 packages Agent Skills and MCP servers into one portable format. Five companies shipped the spec without Anthropic, who created both technologies it wraps.
Claude Code 2.1.222 fixes two agent-isolation failures, yet the npm stable tag still resolves to 2.1.220. Check which build your own team is actually on.
Two API settings moved GPT-5.6 Sol from 13.3% to 38.3% on ARC-AGI-3 with no weight change. Why the harness, not the model, decided that benchmark score.
Guillermo Rauch says the software factory is the product. Here is what an agent factory is actually made of, and when a better prompt still beats one.
The US gates AI access through chip export controls; China gates AI behavior under its July 15, 2026 anthropomorphic-AI law. What the split means for builders.
If Claude Code felt broken, it was not you. The honest on-ramp for non-engineers: supported setup, five moves, a CLAUDE.md file, Plan Mode, and git as your undo.
Fable 5 pricing changes after July 7. A practical builder playbook for routing, caching, batch work, and usage-credit guardrails.
MCP v2 beta ships a stateless architecture. Here is what breaks, which SDK packages to pin, and how to sequence your migration before the 2026-07-28 spec.
How the June 2026 Miasma npm worm beat standard defenses — plus a 7-step checklist to harden your AI agent pipeline against supply chain attacks.
OpenClaw vs Hermes Agent compared for 2026: popularity, architecture, security, and cost — an honest decision framework grounded in current numbers.
Vercel Ship 2026 launched the Agent Stack, eve, and Vercel Connect — and reframed Vercel as a full-stack agent platform. Here's what actually changed.
One in four AI agent skills carries a security flaw. NVIDIA open-sourced SkillSpector to scan them — here's a practical pre-deploy audit playbook.
MCP v2 Alpha changes stateless routing, SDK pins, authorization, and rollback planning before the July 28, 2026 spec date.
On June 15, 2026, Anthropic moves agent and CI usage to a metered credit pool. Here is the break-even model: keep the subscription-plus-credit or go direct API.
Visa embedded its payment network into ChatGPT, letting AI agents shop and pay at any Visa merchant. What merchants must do before the 2026 holiday season.
OpenAI’s ChatGPT superapp pivot moves value from chat to execution. What agent builders must change in architecture, memory and governance.
A one-line change in Claude Code 2.1.166 strips borrowed authority from relayed agent messages. Here's why the multi-agent trust boundary just moved.
At Build 2026, Microsoft introduced Scout — its first "Autopilot," an always-on personal agent that works in the background with its own governed identity. Here is what Scout actually does, how OpenClaw powers it, what the new Autopilot category means for the Microsoft 365 agent stack, and how mid-sized companies should prepare now.
Claude Code 2.1.154 ships dynamic workflows — Claude writes its own scripts to orchestrate hundreds of background subagents. What it means for dev teams.
Chatbots are yesterday's news — in 2026, SMBs build autonomous AI agents directly in Microsoft 365. Five field-tested Copilot Agents with ready-to-use prompts that stand up in 30 minutes each without a single line of code. Including GDPR checklist and cost comparison.
The Microsoft Learn MCP Server lets you transform static documentation into a dynamic, conversational agent inside Copilot Studio. Here is how to build, deploy, and use it in your M365 environment — and why MCP is becoming the standard connector layer for enterprise AI agents.
Codex 0.134 turns small release-note items into a real agent-runtime governance story: profiles, MCP auth, schema reliability, safe concurrency and audit context.
Hermes v0.14 shows agent runtimes becoming operating layers for identity, tools, diagnostics, handoff, and production governance.
Agent PRs have outpaced human review. This is the reviewmaxxing protocol: scope caps, diff-first review, second-agent critique, and merge gate matrix.
Hermes launches a localhost web dashboard for AI agent operations: session browser, cron manager, API key governance, and live log viewer in a single control plane.
Anthropic’s SpaceX compute deal doubled Claude Code limits and reframes AI agents as a capacity-planning problem for enterprise teams.
Peter Steinberger's OpenAI move puts OpenClaw governance in focus. Here is the due-diligence checklist for teams adopting open-source agents.
OpenAI and GitHub just showed why agentic compute breaks flat-rate AI pricing. Learn how to price, govern, and scale long-running agent workflows.
Hermes Agent hit 100K GitHub stars in 7 weeks with GEPA self-improvement. How does it compare to OpenClaw for enterprise agent orchestration? Architecture, benchmarks, and deployment recommendations.
Agent-accessible APIs are the new competitive moat. Learn why MCP integrations, schema-first design, and tool discovery mechanisms determine which SaaS products AI agents will use.
Anthropic launched Claude Managed Agents on April 8, turning AI agents from dev experiments into enterprise infrastructure.
Claude Mythos Preview scored 92.1% on Terminal-Bench 2.1 with a 4-hour timeout, up from 82%. Here's why evaluation conditions matter more than the score — and what it means for enterprise AI teams.
The Morphllm study shows the same model scores 17 benchmark problems apart based on scaffolding alone. The GSD Framework makes AI agents reliable through spec-driven development, verification gates, and persistent state.
NVIDIA GTC 2026: Blackwell Ultra and Vera Rubin cut inference token costs 10x. What it means for AI agent deployments and enterprise security.
Superpowers skill framework, Claude Code loops, and Claude Code + Obsidian: three AI coding tools that fundamentally changed the agentic development workflow in 2026 — structure, iteration, and persistent memory for AI agents.
GPT-5.4 landed on March 5, 2026 with something no general-purpose model had before: native computer use. Here's what changed, what the benchmarks actually mean, and what you should build next.
Claude Code /loop turns the AI coding tool into an autonomous agent that monitors your stack for up to 3 days. Here's what it does, real use cases, honest limitations, and when to use it vs persistent agent platforms.
Andrej Karpathy released Karpathy Autoresearch — a framework where AI agents autonomously run LLM training experiments. 110+ runs in 12 hours on 8×H100.
No team, no employees — just AI agents. How Ben Broca's Polsia reached $1M ARR in 30 days.
In just seven weeks, more than $1 trillion in market cap evaporated from the software sector. How AI agents killed the seat-based SaaS model.
The old app model is dying. 11,393 AI agent tools, 97M MCP downloads per month, 35x CLI token efficiency.
Practical deep-dive on Claude Code Agent Teams — plan mode vs delegate mode, contract-first approach, when to use teams vs sub-agents.
OpenAI Hires OpenClaw Creator — What It Means for the Tool We Bet Our Entire Ops On
Most AI agents are static — they make the same mistakes over and over. We built a system where our agent learns from every correction and never repeats errors. Here is the actual architecture running our content pipeline at Context Studios.
Everything we learned building 13 cron jobs, 78 MCP tools, and production skills in OpenClaw. Copy-paste examples, real-world patterns, and hard-won lessons from running autonomous AI workflows.
Spotify's internal AI coding agent Honk, powered by Claude Code, has transformed how their top engineers work. They haven't written a single line of code since December — and shipped 50+ features.
Everything we've learned running OpenClaw in production at Context Studios — from installation and configuration to advanced multi-agent workflows, browser automation, and 134 MCP tools. The definitive OpenClaw guide for 2026.
The SaaS era is over. $300B wiped from software stocks, AI super apps taking over. Why small studios are positioned to build the replacements.
MCP connects agents to tools. ACP connects agents to each other. Together they form the communication stack for next-gen AI systems. Full comparison with code examples.
The ultimate practical guide to AI agents across 8 key industries. Featuring 24 concrete agent proposals with detailed workflow descriptions and ROI calculations for Healthcare, Finance, Manufacturing, Retail, Logistics, Legal, Customer Service, and HR.
Complete guide to integrating n8n with Claude Code via the Model Context Protocol (MCP). Learn how to automatically create, validate, and deploy n8n workflows with AI – using just a single prompt.
Comprehensive guide to Vibe Coding 2026: AI-assisted, natural-language-first software development with Claude Code, Cursor, Replit Agent 3, Google Antigravity and more. Practical recommendations for teams.
Learn step by step how to create autonomous AI agents with the Claude Code Agent SDK. This beginner's guide includes practical code examples, from simple chatbots to complex agents with tools, memory, and subagents.
Two fundamental challenges define LLM development in 2026: Mode Collapse reduces output diversity through alignment training, while Context Rot degrades model performance as context windows grow. This article analyzes both phenomena and presents practical solutions like Verbalized Sampling and systematic Context Engineering.
170 million new jobs by 2030, but 92 million will disappear. The 10 AI skills that will define your career in 2026: From Context Engineering to Agent Orchestration to Adaptive Learning. Based on the latest GPT-5, Claude Opus 4.5, and Gemini 3 Pro releases.
Terminal and browser merge into an intelligent workspace. With Anthropic's Claude Code Chrome Extension, developers and knowledge workers can automate browser tasks using natural language – from live debugging to email management.
A comprehensive practical guide for implementing AI agents in the financial sector. With complete architecture patterns, production-ready code, and honest assessments of what works and what doesn't.
Context engineering is the discipline of curating, structuring, and defending everything that reaches the LLM at inference time. This comprehensive guide covers 2026 best practices for building reliable AI systems.