openclaw Blog
Top 6 OpenClaw Skills you can't afford to miss in 2026
Top 6 OpenClaw Skills you can't afford to miss in 2026: OpenClaw skills are AgentSkills-compatible folders that teach the agent how. Try CometAPI.
What are openclaw skills? How to Use
openclaw skills: Learn what OpenClaw skills are, how to install and create them, why they matter. Available via CometAPI — single key, OpenAI-compatible.
How Much Does OpenClaw Cost in 2026? Complete Pricing Breakdown
OpenClaw’s core software is 100% free (MIT license). Real-world monthly costs range from $0–$13 for light personal use** (free-tier hosting + cheap models) to **$25–$100 for small teams and $100–$200+ for heavy automation. The official OpenClaw Cloud managed plan is a flat $59/month ($29.50 first month). API tokens are the biggest variable—smart optimization can slash them by 90%.
Best way to uninstall OpenClaw completly and check for malware 2026
To remove OpenClaw completely: run the official CLI uninstall, stop and remove any gateway/service processes, delete configuration and workspace directories, remove global CLI packages (npm/pnpm/bun), revoke any API tokens and OAuth sessions OpenClaw used, inspect and remove scheduled tasks/services/launch agents, and scan for leftover malicious installers or “skills.” Then verify by confirming no openclaw processes, no listening gateway port, and no OpenClaw files or credentials remain.
OpenClaw memory: how it works, why it matters, and how you control it
Over the last few months the open-source agent platform OpenClaw has gone from niche to headline news: cities and startups are racing to adopt and subsidize it, the community has published deep technical toolchains for its memory system, and security researchers have already found and helped patch critical flaws. At the core of many of these stories is one deceptively simple design decision: OpenClaw stores memory as plain Markdown files and treats those files — not transient model activations — as the source of truth. That decision explains both its rapid adoption (human-editable, auditable memory) and the security surface area that has worried operators and governments.
GPT-5.4 in Openclaw Guide: Benfits, Configuration & Best Practice
OpenClaw’s recent release adds first-class, forward-compatible support for OpenAI’s GPT-5.4 and introduces a “memory hot-swappable” architecture that lets OpenClaw agents change which model and which memory store are active at runtime with minimal disruption. This unlocks large-context workflows (GPT-5.4’s expanded context windows), on-the-fly model specialization, and cost/latency optimizations for production agents. The upgrade is available in OpenClaw’s releases and accompanying docs; the examples below show practical configuration, code snippets, benchmark context, and recommended best practices.
Five-minute tutorial on configuring OpenClaw with CometAPI
In early 2026, OpenClaw — the open-source agent runtime and AI assistant platform — continues to be widely adopted by developers, research teams, and enterprises who want multi-model orchestration across channels like Slack, Telegram, WhatsApp, and local command-line execution. Meanwhile, CometAPI has emerged as a powerful OpenAI-compatible LLM gateway, aggregating hundreds of models (e.g., Kimi-K2.5, GPT variants, Claude) under a single API endpoint.
How to Use Kimi K-2.5 with OpenClaw quickly?
Kimi K-2.5 is the newest open-source multimodal, agentic model from Moonshot/MoonshotAI (Kimi family). OpenClaw is a popular self-hosted personal AI assistant/gateway that can run over local models or route to external APIs. This guide explains why you’d connect Kimi K-2.5 to OpenClaw, and gives a step-by-step, ready-to-run walkthrough.