OpenClaw v2026.3.8 is out 🦞 Another quick iteration from the OpenClaw team and this one continues the same theme we’ve been seeing throughout the 2026 cycle… Less “look at this shiny feature”More tightening of the core engine. After digging through the changes, here’s what actually matters in practical terms. ⚡ Reliability improvements across the agent runtime A lot of work in this release focuses on making the runtime more predictable. That means fewer weird states where agents stall, hang, or behave inconsistently during long sessions. If you’re running OpenClaw as a daily driver (especially on a VPS), stability improvements like this tend to be the most noticeable over time. 🔁 Messaging and delivery handling More refinements around message delivery and queue handling. In normal terms: • fewer stuck messages • cleaner retry behaviour • better handling when integrations briefly fail If you’ve ever had a bot message silently fail or get trapped in a loop, updates like this are aimed directly at that. 🧠 Agent lifecycle and context improvements There are more tweaks around how agents spin up, handle context, and terminate sessions. Translation: • cleaner startup behaviour • less leftover state from previous runs • more predictable responses during longer tasks These small lifecycle fixes are what gradually turn experimental agents into something you can actually rely on. 🔐 Continued security hardening Security tightening continues across the workspace and execution environment. The general direction is clear:OpenClaw is being hardened so agents can run with real permissions without creating risky edge cases. If you’re experimenting with automation, that’s an important trend. 📱 Ecosystem support keeps expanding The broader messaging and device ecosystem is still being refined. That includes ongoing work around integrations and node/device capabilities. For anyone running OpenClaw across Telegram, Discord, or multi-agent setups, these improvements keep making the system smoother.

A new OpenClaw release landed with improvements across the dashboard, models, plugins, agents, and security. New Control Dashboard 🧭 - Refreshed modular layout and clearer views for overview, chat, config, agents, sessions - Command palette, chat search/export, pinning and mobile-friendly navigation Fast Mode for OpenAI + Claude ⚡ - Fast Mode toggle across /fast, UI, TUI and ACP - Correct mapping to provider fast tiers and request shaping Provider Plugin Architecture 🔌 - Ollama, vLLM and SGLang now use provider plugin onboarding and model discovery Kubernetes Deployment Docs ☸️ - Starter raw manifests and docs for easier scaling Agent Improvements 🧠 - New sessions_yield capability to end the turn immediately while carrying payload forward Slack Improvements 💬 - Agents can send Slack Block Kit messages through standard reply system Security Improvements 🔒 - Short-lived bootstrap tokens, safer plugin loading defaults, improved approvals and scope protection Quick takeaway ✅ Better dashboard experience, faster execution, stronger architecture + security. Cheers Jason

Hey everyone, if you’re actively building and testing with OpenClaw, you've probably noticed how fast API token costs can rack up—especially if an agent gets stuck in a logic loop overnight. I set these up for clients full-time, and the very first thing we do is secure their testing environment so they aren't bleeding money on API calls. You absolutely do not need to pay per token just to build and test your workflows. I just recorded a full step-by-step guide showing exactly how to bypass these costs and run premium LLMs for $0.00. In the video, I walk through: 1. Nvidia’s Free Models: The exact JSON config changes to swap your primary model to Kimi K2.5 for free. 2. The OAuth Trick: If you already pay for ChatGPT Plus or Gemini Pro, I show you how to connect your account directly so you stop paying for AI twice. 3. Open Router Setup: How to route into Open Router to unlock a massive library of 100% free models (like DeepSeek R1). I show my screen for the entire setup, including the terminal commands and the exact raw config edits you need to make. 📺 You can watch the full walkthrough here: https://www.youtube.com/watch?v=Qfj_Zj1GuQI Save your paid API tokens for your actual production tasks, not testing! Let me know in the comments if you run into any config errors while setting this up—happy to help you troubleshoot.

My agent is coming a long way still a very very smart little baby