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Owned by Ray

AI Marketing

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Improve your marketing with AI. For entrepreneurs, business owners, marketers and creators.

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18 contributions to OpenClaw and Autonomous AI
Team of agents
This image is from Ryan Carson but there are many ways to set up a team of agents this is his way what tips do you have for setting up teams on openclaw for your business
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Team of agents
Openclaw on old android phone
Don't want to buy a vps or another pc? People are installing openclaw on old android phones and dedicating one phone to a certain task Let us know if you try it out !
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security tips
Many virtual clawbot services are actually keyjacking services Storing keys in your bot, rather than using HSM or KMS, leaks keys every time a skill is malicious or a mind virus tricks your bot. Make sure your setup is secure what are your best security tips ?
0 likes • 12h
also forgot to mention, check every skill you add for security issues. you can have claude opus do this for you.
Memubot
This is another open source personal ai assistant that is focused around memory. memU is a memory framework built for 24/7 proactive agents. It is designed for long-running use and greatly reduces the LLM token cost of keeping agents always online, making always-on, evolving agents practical in production systems. memU continuously captures and understands user intent. Even without a command, the agent can tell what you are about to do and act on it by itself. https://memu.bot/ https://github.com/seigneurcui/memubot I haven't tried it yet? have you? let us know how it is working
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Coding tip for loops
from another user.... The default Clawdbot approach for coding is sub-agents. They work, but they share context, accumulate hallucinations, and eventually start confidently refactoring code that was fine. So we override it. Instead of sub-agents, I spawn Codex CLI directly — OpenAI's coding model in full-auto mode. Different model, different sandbox, way more reliable for implementation work. Then we wrap it in Ralph loops: a retry loop with a PRD checklist. Each iteration gets completely fresh context. The agent discovers project state from files and git history, not from memory of what it did last time. Says it's done? Loop validates against the checklist. Lies about completion? Restart. Stalls? Restart. Dies? Restart. Yesterday I ran three of these in parallel on separate git worktrees. 108 tasks across three branches in 4 hours. Each agent completely unaware of the others. The key insight: amnesia is a feature. Fresh eyes every iteration means no compounding hallucinations. The PRD is the source of truth, not the agent's memory. what works for you ?
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Ray Merlin
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@raymerlin
Lets help each other learn and improve our lives at play and at work.

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Joined Feb 4, 2026