OpenClaw

OpenClaw v2026.4.8 ships an experimental plugin called memory-wiki — a persistent, structured knowledge base that lives across agent sessions. Unlike the flat key-value store of standard memory plugins, memory-wiki organizes knowledge into structured entries and, crucially, detects contradictions when new facts conflict with existing ones. This guide walks you through installing the plugin, configuring it, and using it effectively in your agents. Prerequisites OpenClaw v2026.4.8 or later (run openclaw --version to check) Node.js v20 or later If upgrading from an older install: run openclaw doctor --fix first to migrate legacy config Step 1: Install the Plugin openclaw plugins install memory-wiki This pulls the plugin from ClawHub and adds it to your OpenClaw configuration. The memory-wiki plugin ships as part of the 4.8 release package, so the install should complete immediately without downloading external dependencies. ...

OpenClaw’s latest release lands with a handful of features that significantly expand what you can do with headless and long-running agents. Version 2026.4.8 — a hotfix over 4.7 — ships four meaningful upgrades: the new openclaw infer unified CLI, Git-like session branching and restore, webhook-driven TaskFlows, and the experimental memory-wiki plugin. It also officially retires the legacy Claude CLI backend from the onboarding flow. If you’re running OpenClaw in production, this one is worth a careful read. ...

Google’s Agent-to-Agent (A2A) protocol is fast becoming the standard handshake for cross-agent communication in production agentic systems. A new deep-dive from freeCodeCamp — paired with a working GitHub implementation at win4r/openclaw-a2a-gateway — shows exactly how to wire A2A into an OpenClaw plugin so your agent can receive tasks from any A2A-compliant caller. This how-to summarizes the architecture and key implementation steps. For the full guide, see the freeCodeCamp article. What You’re Building An A2A plugin bridge does three things: ...

The Agent Skills open standard just got a significant new toolkit. Felo Skills launched today as an open-source npm package that plugs real-time search, slide generation, web content extraction, social listening, and knowledge base capabilities directly into Claude Code, OpenClaw, Gemini CLI, and other coding agents — in a single install. If you’ve wished your AI coding agent could search the web in real time, pull structured content from any URL, or generate a slide deck from a prompt without leaving your workflow, this is the package you’ve been waiting for. ...

Setting up AI agents in most platforms still looks a lot like configuring infrastructure: YAML files, JSON configs, deployment scripts, role definitions in nested attribute hierarchies. It’s powerful, but it’s a specialist skill that most team members don’t have — and it creates a bottleneck every time someone needs to add, modify, or remove an agent. OpenClaw.Direct wants to eliminate that bottleneck entirely. The company launched a Model Context Protocol (MCP) server that lets teams hire, train, and fire AI employees through natural conversation in Claude Desktop and ChatGPT. ...

OpenClaw just dropped its most substantial release in months, and if you’ve been watching the agentic AI space closely, v2026.4.5 is worth your full attention. This update ships three headline features — Dreaming Memory, built-in media generation, and a prompt caching overhaul — plus a significant provider shift that reflects where the LLM landscape actually stands today. Dreaming Memory: Background Consolidation While You Sleep The biggest conceptual leap in v2026.4.5 is Dreaming Memory. Inspired by how biological memory consolidates during sleep, the feature runs background memory processing sessions that compress, link, and surface important context across long-running agent deployments. The output surfaces in a new Dream Diary UI — a timeline of what the agent “processed” overnight, complete with connection maps between memories. ...

Xiankun Wu, CEO of Kuse, is exactly the kind of technologist the AI industry profiles approvingly. He built AI employees using OpenClaw. They work nonstop, never complain about timezones, and cost a fraction of their human equivalents. He deployed them. He was proud of them. His human team quietly created a private Slack channel without the AI employees. What Actually Happened According to Business Insider’s reporting, the Kuse team didn’t rebel against the AI coworkers in any dramatic sense. There was no manifesto, no confrontation. The humans simply created a separate channel — a small digital room where they could have conversations without AI involvement, without everything being logged, analyzed, and fed back into workflows. ...

For roughly three years, the AI pricing model worked like an all-you-can-eat buffet. Pay $20 a month. Use as much as you want. Get smarter over time. The math worked — barely — because most users were having conversations, writing emails, and generating the occasional image. Human-paced usage is predictable. It’s manageable. It turns out it’s also completely incompatible with the next phase of AI. The Fundamental Incompatibility Autonomous AI agents don’t sleep. They don’t pause between messages. When you set a coding agent loose on a codebase, it might invoke 500 tool calls in an hour. A scheduling agent running in the background 24/7 isn’t “one user” in any meaningful billing sense — it’s a cluster of compute consumption that no $20/month plan was designed to absorb. ...

The most important unsolved problem in production AI agents isn’t intelligence — it’s memory. An agent that can reason brilliantly but forgets everything between sessions is a frustrating tool, not a reliable assistant. Two systems are now competing to define what “never forgetting” means in practice: OpenClaw and Hermes Agent, taking architecturally distinct approaches. The New Stack’s comparative breakdown reveals that these aren’t just different products — they’re different bets on which dimension of persistent memory matters most. ...

When Anthropic announced on April 4 that Claude Pro and Max subscribers could no longer use their flat-rate plans through third-party agent frameworks, the developer community felt it immediately. More than 135,000 OpenClaw instances were running when the restriction took effect. Now the creator of OpenClaw — who joined OpenAI in February — has gone public with a sharp response, calling the decision a “betrayal of open-source developers.” What Anthropic Actually Did The policy change is straightforward: Claude’s subscription tiers were designed around conversational use. A human opens a chat window, types a query, reads a response. Agentic frameworks operate differently — a single OpenClaw instance running autonomously through a day can consume the equivalent of $1,000 to $5,000 in API costs. ...