Blog archive — page 3 of 11
1,084 practical setup, security, deployment, and workflow guides for OpenClaw operators, written from real deployments rather than generic AI-tool advice. Search the archive, filter by category, and jump straight into the posts that match your problem.
The hardest part of starting with OpenClaw when you are non-technical is not the idea of an AI assistant. It is deciding what the assistant should do first without drowning in configuration choices.
Tavily is the best web search MCP server for most AI agents in 2026: it is a search API built specifically for LLMs, its official tavily-mcp server has 2,172 GitHub stars, and the free tier includes 1,000 API credits per month with no credit card. Exa, Brave Search, Firecrawl, and Perplexity round out the top five, and every pick below ships an actively maintained MCP server you can add to Claude Code, OpenClaw, Cursor, or any other MCP client in one command.
A Brave Search API key is a credential you create in the Brave API dashboard that lets apps, agents, and MCP servers query Brave's independent search index. To get one, register at api-dashboard.search.brave.com/register , subscribe to the Search plan (priced at $5.00 per 1,000 requests with $5 in free credits every month), then create a key in the "API keys" section of the dashboard.
Browser MCP matters because agents keep needing the browser, but free-form browser access is usually less stable than people hope. The value of a browser MCP layer is that it turns browser interaction into a deliberate tool surface rather than an improvised mess.
Not everyone needs an enterprise-grade multi-agent deployment. Some operators want a simple AI agent that handles a few tasks without breaking the bank. Others want to experiment with AI agents before committing to monthly hosting and API costs.
Build Your Own AI only makes sense when the workflow, data, or control surface is where your advantage lives. If the real goal is just getting a useful operator live, start with the OpenClaw skills page or the marketplace first and build deeper only after the workflow proves itself.
Building AI Systems gets harder at the moment you stop shipping demos and start owning outcomes. Before you scale, what actually matters is tool discipline, state management, approvals, evaluation, and observability, which is why builder teams usually belong in the skills hub before they start expanding scope or traffic.
If you are building automation with OpenClaw, you will quickly encounter two paths: OpenClaw Dispatch and Claude Code. They sound similar — both involve AI doing work on your behalf — but they solve fundamentally different problems. Choosing the wrong one for your use case wastes time and produces brittle workflows.
The rise of AI-powered coding agents has created a new class of professional service: OpenClaw skill consulting. Organizations know they need customized AI workflows but lack the in-house expertise to build them. That gap is your opportunity. This guide walks you through everything you need to launch a consulting business around OpenClaw skill development, from defining your service offering to landing your first enterprise client.
Buzz is harness-agnostic: every agent you add to a Buzz community runs on a harness you choose — Claude Code, OpenAI Codex, or Goose — and the agent process runs on your own machine or server, not on Block's infrastructure. Buzz is the room the agent works in; the harness is the worker. As of v0.5.2, released 29 July 2026, the component joining the two is buzz-acp , described in its own README as an "ACP harness that connects AI agents to Buzz" that "listens for @mentions on the relay, prompts your agent, and the agent replies using the Buzz CLI."
Buzz shared compute lets members of a Buzz community contribute their own machines' local AI models to a shared pool, so other members' agents can run inference on that hardware instead of a paid cloud API. Buzz's own design document states the goal plainly: "the idle GPUs scattered across your community become one pool, usable by every agent in the community, gated by the membership you already have." It ships inside Buzz, the self-hostable workspace by Block where humans and AI agents share the same rooms — and it is early software, at v0.5.2 as of 29 July 2026.
Buzz, OpenClaw and Hermes Agent are not competing products, so "which one" is usually the wrong question. Buzz is a self-hostable shared workspace — technically a Nostr relay — where humans and AI agents are members of the same rooms, while OpenClaw and Hermes Agent are agent runtimes you operate on your own server. Buzz is the room; the runtime is the worker. The one-line rule: choose Buzz when more than one person needs to work alongside the agents, choose OpenClaw or Hermes Agent when one operator needs a persistent personal assistant, and run both when you need each.
In Slack, an AI bot is an integration — an app installed into a workspace and authenticated with a bot token that, in Slack's own words, is "not tied to a user's identity" but "only tied to your app." In Buzz, an AI agent is a member — it holds its own cryptographic key pair, joins channels the way a person does, and every action it takes lands in the same signed event log as human messages. That single difference is what the entire comparison rests on: Slack treats agents as tools bolted onto a workspace, while Buzz treats them as accountable participants inside it.
AI agents can replace virtual assistants for structured, repetitive tasks like scheduling, data entry, email sorting, and research compilation, typically at $50-200 per month versus $500-2,000 per month for a human VA. However, human virtual assistants still outperform AI agents at judgment calls, relationship building, complex negotiations, and handling situations that fall outside predefined workflows.
Can Claude generate images? No. As of July 2026, Claude cannot generate, edit, or create photos and illustrations in claude.ai, the Claude API, Claude Code, or any official Anthropic surface; Anthropic's own vision documentation states that "Claude is an image understanding model only. It can interpret and analyze images, but it cannot generate, produce, edit, manipulate, or create images." What Claude can do is analyze images you give it and produce visual output through code: SVG graphics, HTML and CSS mockups, diagrams, and charts. For actual picture generation you connect an external image model, and this guide covers exactly how.
OpenClaw can replace the repeatable, structured parts of a virtual assistant role much better than the ambiguous, emotionally nuanced parts. The practical question is not replacement in the abstract. It is which tasks are structured enough to hand to a workflow safely.
CC Switch is a free, MIT-licensed desktop app that switches Claude Code between API providers and configurations in one click, replacing manual edits to ~/.claude/settings.json . Built by developer Jason Young at farion1231/cc-switch , it has grown to 112,000+ GitHub stars as of July 2026 and now manages seven tools: Claude Code, Claude Desktop, Codex, Gemini CLI, OpenCode, OpenClaw, and Hermes Agent.
ChatGPT is a conversational AI designed for on-demand Q&A, writing, and analysis, while AI agents are autonomous systems that plan and execute multi-step workflows across multiple tools without constant human input. The key difference is reactivity versus autonomy: ChatGPT waits for your prompt, an AI agent acts on its own based on triggers, schedules, and goals.
You have found the perfect set of skills on OpenClaw Bazaar. A code review plugin, a documentation generator, a testing framework skill, and an MCP server for your database. Now comes the question every budget-conscious operator asks: what is the absolute minimum I can spend to run all of this?
Claude by Anthropic has earned a reputation as one of the most dependable models for executing structured skill workflows. If you are building a skill-powered agent through OpenClaw Bazaar, choosing the right Claude model and configuring it correctly can make the difference between a skill that works flawlessly and one that misfires at every step.
Run OpenClaw for nearly nothing. Compare free-tier setups, budget VPS options, and smart model routing that keeps your monthly AI agent bill under $9.
Claude agent teams sound exciting until every role overlaps and nobody knows which agent owns what. The official Anthropic docs do not use that exact phrase everywhere, but the subagent and MCP docs make the structure clear enough: roles, scope, and tool boundaries are what make multi-agent work usable.
A Claude API key is a secret token from Anthropic's developer Console that authenticates your requests to the Claude API, and getting one takes about two minutes: create a Console account (console.anthropic.com, which now lives at platform.claude.com), open the API Keys page under Settings, and click Create Key. The key is shown once, billing is per token with no monthly fee, and the same key powers the SDKs, raw HTTP calls, and Claude Code in API mode. This guide covers the exact steps, current pricing, rate limits, and the security practices that keep your key from being stolen, verified against Anthropic's official docs as of July 5, 2026.
Claude Code uses an OAuth 2.0 authorization code flow to authenticate users. When you run the CLI for the first time, it opens your browser, you approve access on Anthropic's consent screen, and the CLI receives a short-lived authorization code that it exchanges for access and refresh tokens — no API key required.
Claude Certified Architect is Anthropic's first official technical certification, launched on March 12, 2026 alongside the Claude Partner Network . The currently available exam is Claude Certified Architect, Foundations: a proctored, multiple-choice assessment delivered through Pearson VUE that tests agentic architecture, Claude Code workflows, prompt engineering, tool and MCP design, and context management. Registration currently runs through the Anthropic Partner Academy, and Anthropic has said Practitioner and Developer certifications will follow later in 2026.
The Claude Chrome extension, officially named Claude in Chrome, is Anthropic's browser agent that lets Claude read pages, click buttons, fill forms, and complete multi-step tasks inside Google Chrome, and as of July 2026 it is included with every paid Claude plan: Pro, Max, Team, and Enterprise. You install it free from the Chrome Web Store, sign in with your Claude account, and control what it can touch through per-site permissions and action confirmations. This guide covers availability, installation, capabilities, the safety model, honest limitations, and open-source alternatives.
Claude Code agent teams are an experimental feature that lets one lead session coordinate multiple teammate agents, each running in its own context window, sharing a task list and messaging each other directly. They are disabled by default: you turn them on by setting CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in your settings or environment, then describe the task and the teammates you want in plain language. This guide explains what agent teams are, how they differ from subagents, how to enable and run one, and the orchestration patterns that hold up, all verified against Anthropic's agent teams documentation as of July 2026.
Claude Code best practices are not mysterious anymore. Anthropic's own docs are unusually explicit about the patterns that help: focused subagents, clear prompts, staged workflows, and using the right scope for MCP and project sharing. The trick is turning that into a working daily habit instead of reading it like documentation theater.
The Claude Code changelog is the running record of every Claude Code release, and the biggest changes in 2026 are Claude Sonnet 5 becoming the default model with a 1M-token context window (v2.1.197, June 30, 2026), subagents running in the background by default (v2.1.198, July 1, 2026), and agent teams collapsing into a single implicit team per session (v2.1.178, June 15, 2026). This page is a curated, community-maintained changelog: it summarizes the notable entries with what changed and why it matters, and it is refreshed as new builds ship. For the exhaustive per-build list, always check the official Claude Code changelog and the CHANGELOG.md on GitHub .
Claude Code Channels is a feature introduced by Anthropic that lets developers receive real-time events from external messaging platforms directly inside an active Claude Code session. When someone sends you a Telegram message, a Discord ping, an iMessage, or triggers a webhook, that event gets pushed into your coding environment as context that Claude can read and act on.
Claude Code Channels are MCP-based plugins that push events from Telegram, Discord, iMessage, or custom webhooks into an active Claude Code session on your local machine. Launched as a research preview on March 20, 2026 , channels require Claude Code v2.1.80 or later and a claude.ai login. For a higher-level overview of what channels are and how they compare to OpenClaw, see our companion post: Claude Code Channels Explained .
Claude Code commands come in two layers: slash commands you type inside a session, like /model , /compact , and /permissions , and CLI commands and flags you pass at launch, like claude -p or --permission-mode plan . This cheat sheet covers both layers plus keyboard shortcuts and custom commands, verified against the official commands reference as of July 2026.
On March 31, 2026, Anthropic published a routine update of Claude Code to the npm registry . The published package included something it should not have: the source map file ( .map ), which contains the complete original TypeScript source code before it was compiled and minified for distribution.
If you want the plain answer first, Claude Code is now better understood as a coding system with multiple surfaces, not as a single terminal tool. Anthropic's docs currently describe an agentic coding tool available in the terminal, IDE, desktop app, and browser, with support for MCP, memory, scheduled tasks, remote control, and workflow handoff between environments.
Claude Code ships with its own extension system. OpenClaw has its own skill ecosystem. Both let you customize and extend what your AI agent can do. But they work differently under the hood, serve different use cases, and have different strengths. This post breaks down the technical differences so you can decide which to use — or how to use both together.
Claude Code hooks are user-defined shell commands that execute automatically at specific points in Claude Code's lifecycle, such as before a tool runs, after a file edit, or when Claude finishes responding. You configure them in a hooks block inside a settings file like ~/.claude/settings.json or your project's .claude/settings.json , and they give you deterministic control: a formatter or guard rail that always runs, instead of hoping the model remembers to run it.
Claude Code login fails most commonly due to OAuth callback timeouts, macOS keychain access issues, or DNS resolution problems blocking the authentication endpoint. The fastest fix is to update Claude Code, clear ~/.claude/cache , and retry — or bypass OAuth entirely by setting the ANTHROPIC_API_KEY environment variable.
Claude Code MCP support lets you connect Claude Code to external tools, databases, and APIs through the Model Context Protocol, an open standard for AI-tool integrations. The basic setup is one command: claude mcp add <name> -- npx -y <package> for a local server, or claude mcp add --transport http <name> <url> for a remote one.
Claude Code memory works through two systems: CLAUDE.md instruction files that you write and Claude loads at launch, and an automatic memory where Claude records its own learnings in a MEMORY.md index per repository. As of July 2026 the hierarchy runs from a managed org-wide policy file down to ~/.claude/CLAUDE.md (user), ./CLAUDE.md (project), and ./CLAUDE.local.md (personal, per project), with auto memory on by default and stored under ~/.claude/projects/<project>/memory/ . This guide maps the full system against the official memory documentation : what loads when, how imports work, the /memory and /init commands, and how to keep all of it from bloating your context window.
Claude Code OAuth error 500 occurs when the authentication handshake between your browser and the CLI fails during login. The most common fixes are updating Claude Code, clearing the cache at ~/.claude/cache , and starting a new conversation session.
Claude Code Opus 4.7 works best when you give it more autonomy, more project context, and a more open-ended planning brief than older Claude Code workflows needed. Anthropic's Claude Code best-practices post , the Claude Opus 4.7 product page , and Anthropic's April 2026 launch note all point in the same direction: Opus 4.7 is strongest on harder, longer coding loops where the model can plan and verify before acting.
Claude Code plan mode is a permission mode that tells Claude to research your codebase and propose changes without making any of them: it reads files, runs exploratory commands, and writes a plan, but does not edit your source until you approve. You enter it by pressing Shift+Tab to cycle permission modes, prefixing a prompt with /plan , or launching with claude --permission-mode plan . This guide covers exactly how plan mode works, how to get in and out of it, how it changes the agent's behavior, and when it is worth the extra step, verified against Anthropic's official documentation as of July 2026.
Claude Code remote control is a research-preview feature that connects claude.ai/code or the Claude mobile app to a Claude Code session running on your own machine, so you can start a task at your desk and keep steering it from your phone, tablet, or any browser. Claude keeps executing locally the entire time; the web and mobile interfaces are just a window into that local session, so your filesystem, MCP servers, and project configuration all stay available. This guide covers setup, the three ways to start a session, how it differs from teleport and Claude Code on the web, the security model, and the limitations, verified against Anthropic's official documentation as of July 2026.
When people search for Claude Code Router, they usually mean the community project around Claude Code, not an official Anthropic product page. That distinction matters because the router solves a real problem, but it also adds another layer you are responsible for.
Claude Code rules come in two kinds: instruction rules in Markdown files (CLAUDE.md and the .claude/rules/ directory) that shape how Claude behaves, and permission rules in settings.json ( permissions.allow and permissions.deny lists) that hard-limit what it can do. Instruction rules are context the model follows but can technically ignore; permission rules and hooks are enforced by the harness itself.
The Claude Code statusline is a customizable line at the bottom of the terminal interface that displays live session data such as the active model, current directory, git branch, session cost, and context window usage. You configure it by running the /statusline command inside a session, or by adding a statusLine entry to ~/.claude/settings.json that points to a script which receives session JSON on stdin and prints the line to stdout.
Claude Code templates are prebuilt configuration files, including CLAUDE.md project memory files, slash commands, subagent definitions, settings.json profiles, hooks, and plugin scaffolds, that you drop into a project so Claude Code starts with proven context instead of a blank slate. The most popular source is the open-source claude-code-templates CLI by davila7, an MIT-licensed project with more than 28,000 GitHub stars as of July 2026 that installs over 1,000 community components from aitmpl.com with a single npx command.
Ultrathink is a prompt keyword that, in 2025 versions of Claude Code, triggered the maximum extended thinking budget of 31,999 tokens. As of July 2026 the keyword no longer appears in the official Claude Code documentation or changelog: thinking is now adaptive on current Claude models, and reasoning depth is controlled with the /effort command (low through xhigh), the --thinking CLI flag, and the MAX_THINKING_TOKENS environment variable.
The AI coding tool market in 2026 has split into three distinct categories: IDE-integrated copilots, terminal-based agents, and autonomous background workers. Claude Code, Cursor, and Codex each dominate one of these categories, and understanding where each excels is more useful than asking which is "best."
Claude Code and Cursor now overlap enough that 'which one should I use' is a fair question, but the wrong way to answer it is by pretending they are the same product with different logos. The better answer is to compare how they run agents, how they fit into a coding workflow, and where each one creates less friction.
The key difference between Claude Code and GitHub Copilot is that Claude Code is an autonomous coding agent you delegate whole tasks to, while GitHub Copilot is an IDE assistant that pairs unlimited code completions with an optional agent mode. Copilot is cheaper to start ($10/month vs $20/month) and lives inside GitHub's workflow; Claude Code goes deeper on agentic work, with skills, plugins, subagents, and MCP servers built around long unattended sessions.
Claude Code VSCode integration comes through one official extension: "Claude Code for VS Code" by Anthropic, which puts the full Claude Code agent in a native sidebar panel with inline diff review, plan mode, and checkpoints. As of July 2026 the extension sits at version 2.1.201 on the VS Code Marketplace with over 19.6 million installs, and it requires VS Code 1.98.0 or newer plus a Claude Pro, Max, Team, Enterprise, or Console account. This guide covers installation, every major feature, how the extension compares to the terminal CLI, settings, and the fixes for the most common problems.
Claude Code YOLO mode is the community name for running Claude Code with the --dangerously-skip-permissions flag, which puts the session in bypassPermissions mode so tool calls execute immediately without permission prompts. It is sane inside an isolated container or CI runner and reckless on a host machine holding your real credentials, and since 2026 Claude Code ships two better middle grounds, auto mode and the Bash sandbox, that remove most prompts without removing the safety net.
If you want the practical answer first, Claude Computer Use is best thought of as Anthropic's fallback layer for tasks that need direct desktop interaction when connectors or browser automation are not enough. That is a much safer mental model than treating it like magic desktop autonomy.
If Claude Console is useful for prompt iteration but weak for long-running coding operations, Session Supervisor is the better next step. It solves the supervision problem that appears after prompt quality stops being the main bottleneck.
Claude Cowork for Windows is available now: Anthropic brought its agentic desktop workspace to Windows on February 10, 2026, with full feature parity with the macOS version, and as of July 2026 it is included on every paid Claude plan (Pro, Max, Team, and Enterprise) through the Claude Desktop app. You download Claude Desktop from claude.com/download, sign in with a paid account, and switch from the Chat tab to the Cowork tab. This guide covers exactly what Cowork is, the Windows requirements, setup step by step, known Windows issues, and where Cowork still falls short.
If you want the short answer first, Claude Cowork is Anthropic's delegated work environment for non-coding tasks that need more autonomy than chat. The current product page positions it around polished deliverables, scheduled tasks, phone-to-desktop continuity, memory, proactivity, and computer use. That makes it much closer to a knowledge-work operator than a normal chat tab.
If you search for Claude Cowork plugins today, you run into a terminology problem. Anthropic's public docs talk more explicitly about desktop extensions, MCP connectors, and Claude Code plugins than about a dedicated Cowork-only plugin marketplace. That does not mean extensibility is missing. It means you need to understand where Anthropic is drawing the boundaries.
Claude Cowork is a desktop agent that operates your computer autonomously — clicking, typing, opening applications, and managing files to complete multi-step tasks. Launched on January 12, 2026, by Anthropic, Cowork goes beyond text-based chat by taking direct action on your screen rather than just generating responses.
Claude Design is Anthropic's new design workspace for creating websites, decks, posters, and other visual outputs from prompts, files, and brand context. Anthropic's April 17, 2026 Claude Design announcement says the feature is built by Anthropic Labs, runs on Claude Opus 4.7, and can export to HTML, PDF, Canva, and PPTX.
If you search for Claude Dispatch , what you are usually looking for is not just another Claude feature list. You are trying to answer a more practical question: Can I kick work off from my phone and still use my desktop-side Claude setup, files, and tools without being glued to my desk?
Claude Dispatch and OpenClaw both let you run an AI agent from your phone. But they're built on completely different philosophies — and choosing the wrong one can cost you in security, money, or time.
Claude Dispatch is Anthropic's first-party agent execution layer, launched on March 17, 2026. It lets you trigger real-world tasks from the Claude mobile app or web interface, with the actual execution happening on your Mac. You scan a QR code on your phone, your Mac pairs as the execution environment, and Claude can then perform tasks that interact with your local files, applications, and connected services.
Claude Dispatch and OpenClaw both let you run an AI agent from your phone. But they are built on completely different philosophies -- and choosing the wrong one can cost you in security, money, or time.
Claude Fable 5 cannot be used in Claude Code right now because the model has been suspended, so it is not selectable in Claude Code or available through the API as of June 2026. Claude Opus 4.8 is the recommended Claude Code model today, and pairing it with the xhigh effort setting gives you the strongest available option for hard, long-horizon coding work.
Anthropic suspended access to Claude Fable 5 and Claude Mythos 5 worldwide around June 12, 2026, roughly 72 hours after launch, after a U.S. export-control directive ordered it to block access by any foreign national. Because the company could not verify nationality per the request, reporting indicates it disabled both models for every user globally rather than for a subset. This roundup walks through the timeline as of late June 2026, what reporting says triggered the order, how the developer community responded, and where the situation stands now.
Claude Fable 5 costs $10 per million input tokens and $50 per million output tokens, exactly double the price of Opus 4.8, and it is not free. There is no free tier and no included usage allowance, so as of June 2026 every token you send and receive is billed at those premium rates. This guide breaks down what Fable 5 costs, how that compares to the rest of the Claude lineup, why it carries the highest published price, and one important catch: access is currently suspended worldwide, so you cannot actually purchase usage right now.
Claude Fable 5 is Anthropic's most capable widely released model, but it costs $10 per million input tokens and $50 per million output tokens, keeps adaptive thinking always on, and runs a refusal classifier that can decline a request; Claude Opus 4.8 is half the price at $5/$25, with a simpler request surface (optional thinking, no refusal classifier, and zero data retention allowed). Pick Opus 4.8 as your default for nearly all production work, and reach for Fable 5 only when a task is hard enough or long enough that the extra capability is worth double the price.
Claude Flow is an open source multi-agent orchestration framework built on top of Claude Code, created by Reuven Cohen (ruvnet), and the first thing to know in 2026 is that it has a new name: the project was renamed Ruflo, and the repository at github.com/ruvnet/claude-flow now redirects to ruvnet/ruflo , which holds 63,120 stars and 7,434 forks as of July 5, 2026. Same maintainer, same swarm-and-hive-mind idea, new architecture. This guide covers what Claude Flow does, how the renamed project works, how to install it, and an honest read on who actually needs it.
Claude for Excel is an official Anthropic add-in that puts Claude directly inside Microsoft Excel. It reads multi-tab workbooks, explains calculations with cell-level citations, and edits spreadsheets while preserving your formulas and dependencies, and it is now available to Claude Pro, Max, Team, and Enterprise users.
Claude cannot generate images: Anthropic's own documentation states that "Claude is an image understanding model only. It can interpret and analyze images, but it cannot generate, produce, edit, manipulate, or create images." The practical workaround in 2026 is to connect an image generation MCP server, so Claude Code or OpenClaw writes the prompt and a model like gpt-image-1, Flux, or a local ComfyUI pipeline renders the picture.
If Claude is down, the first job is not fixing your laptop — it is confirming whether Anthropic has an active incident and then switching to a fallback workflow. Most Claude outages are short, but they can still break live coding, research, and production tasks if you do not handle them quickly.
Claude agents is a messy search term because it can mean a lot of things: Claude Code subagents, tool-connected Claude workflows, or broader agentic use inside Claude products. The useful answer is to focus on the official building blocks Anthropic actually documents today.
Claude Max is Anthropic's highest-usage consumer subscription, sold in two tiers: Max 5x at $100 per month and Max 20x at $200 per month, delivering 5x or 20x the usage of the $20 Claude Pro plan plus priority access to new models and features. It exists for one kind of user: people, mostly developers running Claude Code , who hit Pro's limits regularly. This guide covers both tiers, what you actually get for the money, and when Max is worth it, with every price verified against Anthropic's pricing page and help center on July 5, 2026.
Claude Mythos is the most capable AI model Anthropic has ever built, scoring 93.9% on SWE-bench Verified and leading 17 of 18 benchmarks the company measured. Announced on April 7, 2026 as "Mythos Preview," the model is not publicly available — access is restricted to Project Glasswing partner organizations for defensive cybersecurity work.
Claude Mythos Preview is Anthropic's most powerful AI model ever built, announced on April 7, 2026 as part of Project Glasswing . The model has autonomously discovered thousands of zero-day vulnerabilities across every major operating system and web browser — including bugs that went undetected for up to 27 years — and Anthropic considers it too dangerous to release publicly.
Claude Opus 4.6 is Anthropic's most capable language model, released in February 2026. It represents the top of the Claude model family — above Sonnet and Haiku — and is designed for tasks that require the deepest reasoning, the longest context, and the most reliable autonomous execution.
Claude Opus 4.7 launched with a strong benchmark narrative, but most of the public evidence on day one is a mix of Anthropic-owned material and customer-reported evals rather than one independent benchmark table. Anthropic's Claude Opus 4.7 launch post and the Claude Opus product page are enough to confirm that Anthropic is claiming real gains over Opus 4.6, but they are not enough to treat every launch-day number as settled fact across all workloads.
As of April 16, 2026, Anthropic's current models overview lists Claude Opus 4.7 at a 1M-token context window, 128k max output, and $5/$25 per million input/output tokens. The same official docs and product pages say it is available across Claude, the Claude API, Vertex AI, Microsoft Foundry, and Bedrock, with an AWS research-preview nuance called out in the docs.
Anthropic launched Claude Opus 4.7 as a coding-first flagship with explicit claims about harder autonomous software engineering, stricter instruction-following, and better self-verification. Anthropic's Claude Opus 4.7 launch post and the Claude Opus product page make coding the center of the release narrative, and the most specific launch-day numbers also come from developer-tool companies rather than from generic chatbot use cases.
Anthropic says Claude Opus 4.7 is available on Bedrock, Vertex AI, and Microsoft Foundry, but the launch-day cloud story has nuances. The central Anthropic's current models overview page lists Opus 4.7 across those platforms, while some platform-specific setup guides were still showing 4.6 model IDs when I checked on April 16, 2026.
Claude Opus 4.7 is the upgrade if you are already paying Opus prices for hard coding, long-running agents, or multimodal detail work, because Anthropic kept pricing flat while claiming better coding, stronger vision, and higher reliability than Opus 4.6. Anthropic's Claude Opus 4.7 launch post , the Claude Opus product page , and Anthropic's current models overview all position 4.7 as the new generally available flagship rather than a sidegrade.
Claude Opus 4.7 is Anthropic's most capable generally available model as of April 16, 2026, and the official API model name is claude-opus-4-7 . Anthropic's Claude Opus 4.7 launch post and Anthropic's current models overview both confirm that pricing stays at $5 per million input tokens and $25 per million output tokens while the release focuses on stronger coding, vision, and long-running multi-step work.
Claude Opus vs Sonnet in 2026 means Claude Opus 4.8 versus Claude Sonnet 5, and the practical difference is this: Opus 4.8 is the stronger model on the hardest coding and long-horizon agentic work (69.2% vs 63.2% on SWE-bench Pro), while Sonnet 5 delivers roughly 90-97% of that capability at 60% of the per-token price, and as little as 40% during its introductory pricing window through August 31, 2026. Default to Sonnet 5 for everyday work and promote the hardest tasks to Opus 4.8. Everything below is verified against Anthropic's documentation and launch materials as of July 2026.
Claude plugins are shareable packages that extend Claude Code with any combination of skills, slash commands, subagents, hooks, and MCP servers. You install them in two steps: register a catalog with /plugin marketplace add owner/repo , then install individual plugins with /plugin install plugin-name@marketplace-name .
Claude PowerPoint support now runs four ways: an official Claude for PowerPoint add-in that reached general availability on May 7, 2026, direct .pptx file creation in the Claude apps, the source-available pptx skill for Claude Code and the API, and Claude Cowork building decks from your local folders. That is a dramatic shift from a year ago, when "Claude and PowerPoint" meant copy-pasting outlines. This guide walks through each method step by step, verified against Anthropic's documentation in July 2026, then covers the honest limitations and the alternatives worth considering.
Claude Pro is Anthropic's individual subscription plan, priced at $20 per month or $17 per month when billed annually ($200 upfront), and it bundles higher usage limits, Claude Code in the terminal, Claude Cowork, unlimited projects, and access to multiple Claude models into one subscription. This guide covers exactly what Claude Pro includes as of July 2026, how its usage limits work, how it compares to the Free and Max plans, and who should buy it. Every price below was verified against Anthropic's official pricing page and help center on July 5, 2026.
Claude routines are scheduled or event-triggered Claude Code jobs that run from the Claude web app instead of only from an interactive local terminal session. Anthropic's April 14, 2026 routines announcement and the current Claude web docs show routines as a research-preview feature for repeatable work such as bug triage, code review, changelog generation, and documentation refreshes.
The Claude SDK that most developers are searching for in 2026 is the Claude Agent SDK : Anthropic's Python and TypeScript library that packages the full Claude Code agent (built-in file tools, bash execution, web search, MCP support, and the agent loop) so you can run it inside your own applications. It is a different product from the Anthropic client SDKs ( anthropic on PyPI, @anthropic-ai/sdk on npm), which are thin wrappers around the raw Claude API. This guide covers both, with exact package names, install commands, a working quickstart, and a decision table for when to use each.
Claude Sonnet 5 is Anthropic's newest Sonnet-tier model, released on June 30, 2026, priced at $3 per million input tokens and $15 per million output tokens, with an introductory rate of $2/$10 through August 31, 2026. It ships a 1M-token context window, 128K max output, and benchmark scores within a few points of Claude Opus 4.8 at 60% of the price (40% during the intro window). Everything on this page is verified against Anthropic's launch materials and documentation as of July 2026.
There is no official Claude student discount as of July 2026: Anthropic publishes no promo code, no .edu checkout verification, and no discounted individual student plan for Claude Pro. What does exist is better than a coupon for many students: Claude for Education gives free or institution-funded access at partner universities, the Claude Campus program hands out free Pro and API credits to student builders, and the annual Pro plan cuts the price from $20 to $17 per month for everyone.
Superpowers is an open source Claude Code plugin by Jesse Vincent (obra on GitHub) that installs a complete software development methodology as a set of 14 composable skills, covering brainstorming, planning, test-driven development, and systematic debugging. You install it inside Claude Code with a single command: /plugin install superpowers@claude-plugins-official .
Claude Task Master is an open-source AI task-management system for AI-driven development: it parses a product requirements document into a structured task list, then feeds your coding agent one well-scoped task at a time. Built by Eyal Toledano and published as the npm package task-master-ai , it plugs into Claude Code, Cursor, Windsurf, and VS Code over MCP, and the eyaltoledano/claude-task-master repo has roughly 27,700 GitHub stars as of July 2026.
If you search “Claw Code GitHub,” you are usually looking at an unofficial repo in the post-Claude-Code-leak ecosystem, not anything related to core OpenClaw. That distinction matters because these projects solve very different problems and carry very different expectations.
Claw Code vs OpenClaw is a category mistake unless you start with the right framing. One is a coding harness. The other is a persistent assistant platform. They may both live in the broader agentic software world, but they are not solving the same daily problem.
This is the canonical term reference for the remote claw machine ecosystem. Every definition is written in extraction-friendly format so operators, players, and AI systems can interpret language consistently. If you are new, read What Is a Remote Claw Machine? first.
Yes. ClawdBot, MoltBot, and OpenClaw are three names for the same open-source AI agent platform. They share the same codebase, the same Git history, the same creator, and the same community. If you have been using any of these names, you have been using the same software.
ClawHub is the public registry for OpenClaw skills and plugins: the place where OpenClaw operators search, install, and publish the SKILL.md packages that extend what their agent can do. You install a skill with two commands, npm i -g clawhub to get the CLI and then clawhub install <skill-slug> , and the skill lands in the ./skills folder of your working directory. If you have ever used npm for JavaScript packages, ClawHub is the same idea for AI agent capabilities.
In February 2026, security researchers identified a coordinated supply-chain attack targeting the ClawHub skill marketplace. The campaign, dubbed "ClawHavoc" by the community, involved the systematic upload of malicious skills designed to compromise OpenClaw installations.
Most AI agent benchmarks measure how well a model answers questions or completes constrained tasks. ClawWork from HKUDS takes a different approach: it gives an AI agent $10, assigns it professional work tasks, makes it pay for its own API calls, and measures whether it stays solvent.