Practical Agentic AI How-Tos
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Anthropic’s Claude Code Voice Mode went live today in a staged rollout. If you’re on a Pro, Max, Team, or Enterprise plan, here’s everything you need to get started — or get ready when it hits your account. Prerequisites Before you try to enable Voice Mode, confirm you have: Claude Code CLI installed — latest version recommended Eligible plan: Pro, Max, Team, or Enterprise (free plans are not included in this rollout) Active Claude Code session in a terminal environment with microphone access Rollout access: Currently ~5% of eligible users. If the command doesn’t work yet, you’re in the queue — broader rollout is coming in the next few weeks Check your Claude Code version: ...
OpenClaw v2026.3.2 shipped two features that close significant gaps in what agents can natively process: a PDF analysis tool with dual-backend support, and a Speech-to-Text API for audio transcription. If you’re running agents that touch documents or audio — research pipelines, meeting summarizers, compliance workflows, content processors — these are worth setting up immediately. This guide walks through both tools: what they do, how to configure them, and how to chain them into practical workflows. ...
Running 13 AI agents simultaneously on a single software project sounds like either a research demo or a recipe for chaos. A developer posting on DEV.to this week shows it’s neither — it’s a practical, production-tested workflow that actually ships code, and it’s approachable enough to adapt right now. Here’s the full breakdown of how it works, what tools it uses, and how you can build something similar. The Setup: 13 Agents, One Tmux Window The core architecture is simple at the infrastructure level: 13 Claude Code instances running in tmux panes, each assigned a discrete task. The complexity isn’t in the terminal layout — it’s in the inter-agent communication layer the developer built on top of it. ...
The ClawJacked vulnerability allowed malicious websites to brute-force OpenClaw’s local WebSocket gateway and silently gain admin control over your AI agents. The patch is out — but patching alone isn’t enough if your gateway is still misconfigured. This guide walks you through verification and hardening. Time required: 10–15 minutes Difficulty: Beginner–Intermediate Prerequisites: OpenClaw installed and running locally Step 1: Check Your OpenClaw Version The ClawJacked fix shipped in the latest OpenClaw release. First, confirm what version you’re running. ...
If OpenClaw is throwing 403 permission_error when it tries to call Claude, your OAuth session has been revoked by Anthropic. This is not a bug you can wait out — it’s a deliberate policy change. Here’s exactly what to do. Time estimate: 10–20 minutes Difficulty: Easy Who this affects: OpenClaw users who signed in with Claude Pro or Max subscription credentials (OAuth flow) rather than a direct API key First: Confirm You’re Affected Check your OpenClaw logs. If you see something like: ...
Alibaba’s CoPaw just went open-source and it’s one of the cleanest personal agent setups I’ve seen for developers who want full control over their stack. This guide walks you through a working deployment in under 30 minutes — locally on a Mac, or on a cheap Linux VPS. Prerequisites: Python 3.11+ or Docker A machine with at least 4GB RAM (8GB+ for local models) Optional: Anthropic/OpenAI API key, or a local model via llama.cpp or Ollama Step 1: Clone the Repository git clone https://github.com/agentscope-ai/CoPaw.git cd CoPaw The repo includes a docker-compose.yml for containerized deployment and a standard Python requirements.txt for bare-metal installs. ...
Most multi-agent tutorials stop at “here’s how to wire two agents together.” Production systems need more: structured message passing, durable state across restarts, and an audit trail you can debug when something goes wrong at 2am. This guide builds a Planner/Executor/Validator architecture with LangGraph that’s actually ready for production. Architecture Overview The system uses three specialized agents: Planner — Receives a task, decomposes it into steps, publishes to the message bus Executor — Consumes steps from the bus, executes them, publishes results Validator — Checks Executor outputs against criteria, flags failures, loops back to Planner if needed These agents communicate via a structured ACP-style message bus (Pydantic schemas), checkpoint state to SQLite via langgraph-checkpoint-sqlite, and log every message to JSONL for auditability. ...
Claude Code v2.1.63 ships a significant change to how you hook into the agent lifecycle: shell-based hooks are out, HTTP webhooks are in. If you’ve been using hooks in your Claude Code pipeline, this guide walks through the migration and shows you why the new pattern is worth the effort. Why HTTP Hooks? The old shell hook model had a fundamental problem: crossing the shell boundary destroyed structure. You serialized data to a string, passed it through a shell command, and parsed it back out on the other side. Every step introduced escaping issues, subprocess overhead, and opportunities for silent failure. ...
If you’ve been running OpenClaw on your host machine and quietly wondering what happens if an agent goes sideways, NanoClaw is the answer you’ve been looking for. This guide walks you through the basics of setting up NanoClaw — the new containerized OpenClaw alternative from Gavriel Cohen — so your agents run with minimal permissions and your host system stays protected. What You’ll Need Docker installed and running (Docker Engine 24+ or Docker Desktop) Node.js 18+ (for the NanoClaw CLI) An existing OpenClaw config or familiarity with SOUL.md/USER.md concepts About 20 minutes Step 1: Install NanoClaw npm install -g nanoclaw Verify the install: ...
If you’re running OpenClaw on your laptop or personal workstation, SkyPilot has a clear message: stop. Not because OpenClaw is malicious — it isn’t. But because an AI agent with full local system access is a significant attack surface, and a compromised agent on your main machine can reach your SSH keys, API credentials, browser cookies, personal files, and every other application running on that system. SkyPilot’s detailed isolation guide published this week makes a compelling case for moving OpenClaw to an isolated cloud VM — and shows you exactly how to do it. Here’s a practical walkthrough. ...