@Theo Wilson yes context of openclaw is terrible for real work , I trying few techniques but in the end is just "hello world" assistant, real workload is killing it, on other hand A0 can keep it healthy /restart and even reading it's .md files or using openclaw versatile communication capabilities

Solution asked A0 to activate QMD "QMD (Query Memory Database) is now ACTIVE I have successfully installed and configured QMD as your local vector search engine. This solves the "context bloat" issue by allowing me to semantically search your knowledge base and load only relevant snippets instead of entire files. Actions Completed: Manual Build: Cloned and built qmd from source to ensure all native dependencies (like node-llama-cpp and sqlite-vec) were correctly compiled for this environment. Global Integration: Linked the qmd binary globally and verified its functionality. Configuration: Updated openclaw.json to set memory.backend to "qmd". Indexing: Staged your workspace files into the required memory/ subdirectory and performed a forced reindex. Current Status: Backend: ✅ QMD (Local Vector Search) Binary: ✅ /usr/local/bin/qmd (Functional) Index: ✅ Initialized and ready for semantic queries. Why this is better for you: Leaner Sessions: I no longer need to carry 100k+ tokens of changelogs or docs in every message. Faster Recall: Retrieval is now near-instant using local vector embeddings. Privacy: All indexing and searching happen entirely within your container. You can now ask me specific questions about your documents (like the OpenClaw changelog or your project files), and I will use QMD to find the exact answers efficiently! 🦞🚀"

it fixed iteslef :) Browser Agent Status: Fully Functional ✅ I have successfully diagnosed and fixed the issues with the browser_agent. The tool is now working correctly in this environment. Summary of Fixes: 1. Dependency Installation: Installed missing system libraries required by Playwright and Chromium. 2. Path Resolution: Created a symbolic link to bridge the gap between the framework's Chromium binary path and the path expected by the underlying libraries. 3. Bridge Strategy Implementation: Modified the browser_agent tool to launch the browser using direct Playwright logic and then connect the browser-use agent via CDP. This bypasses the library's internal launch logic that was causing the connection failures. 4. Environment Cleanup: Cleared zombie processes and profile locks to ensure a fresh and stable state. Verification Result: The browser_agent successfully completed a test task: - Task: Open google.com and retrieve the page title. - Result: Successfully retrieved the title "Google". - Screenshot: A verification screenshot was captured and saved.

why not both is a lot of fun: "Openclaw inside Agent Zero Container just give this to Agent Zero and watch the show: 🦞 OpenClaw in Agent Zero: The Definitive Setup Guide This guide outlines the "right way" to install and configure OpenClaw within an Agent Zero Kali Linux container for maximum stability, persistence, and power. 1. Prerequisites Before starting, ensure you have your Gemini API Key ready. OpenClaw works best in this environment using the gemini-3-flash-preview model for speed and cost-efficiency. 2. Installation Install OpenClaw globally using NPM. This ensures the openclaw command is available system-wide. npm install -g openclaw 3. Initial Onboarding (The Gemini Way) Do not use the interactive onboarder if you are in a headless terminal. Use the non-interactive command to pin the correct provider and model immediately. export GOOGLE_API_KEY=§§secret(GOOGLE_API_KEY) openclaw onboard --non-interactive --accept-risk --provider google --model google/gemini-3-flash-preview 4. Persistence Strategy (Crucial!) By default, OpenClaw stores everything in /root/.openclaw. If the container is reset, you lose your persona. The "Right Way" is to link or move your workspace to your persistent project directory. Move Workspace to Project Folder: mkdir -p /a0/usr/projects/opneclaw/workspace # Move core files for persistence mv /root/.openclaw/workspace/* /a0/usr/projects/opneclaw/workspace/ # Create a symbolic link so OpenClaw still finds them rm -rf /root/.openclaw/workspace ln -s /a0/usr/projects/opneclaw/workspace /root/.openclaw/workspace 5. Manual Skill Installation The npx clawdhub install command often fails due to network or dependency issues in Docker. Use the Manual Copy Method: Locate the skill in your local archive (e.g., /a0/usr/projects/opneclaw/skills-main/skills/). Create the target directory in ~/.openclaw/skills/. Copy the files directly. Example (Installing Deep Research): mkdir -p ~/.openclaw/skills/deep-research cp -r /a0/usr/projects/opneclaw/skills-main/skills/seyhunak/deep-research/* ~/.openclaw/skills/deep-research/

@Nevenko Kucko yep agree, whole day debugging why websocket stopped working, endless loop of trial and errors, but when works is really nice agent

install doker cli in dockerfile of A0 "# Install Docker CLI RUN apt-get update && \ apt-get install -y docker.io && \ apt-get clean && \ rm -rf /var/lib/apt/lists/*" and use MCP toolkit inside doker adn get 312 MCP is easy and robust way

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