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Run OpenClaw 2.0 through Atomic Chat local LLM server on a 16GB MacBook 💻🦞 We gave OpenClaw a task to edit a video using Gemma 4 E4B, it successfully created a welcome video in two minutes by writing custom React code Load the model in start the LLM server...

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43,371 просмотров • 3 дней назад •via X (Twitter)

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Train your 🦞OpenClaw🦞 simply by talking to it. Meet OpenClaw-RL. Host your model on our RL server, and your LLM gets optimized automatically. Use it anywhere. Keep it private. Make it more personal every day. We have fully open sourced everything. Come in and have fun!
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Train your 🦞OpenClaw🦞 simply by talking to it. Meet OpenClaw-RL. Host your model on our RL server, and your LLM gets optimized automatically. Use it anywhere. Keep it private. Make it more personal every day. We have fully open sourced everything. Come in and have fun!

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99,473 просмотров • 6 месяцев назад

OpenClaw 2.0 is available on Atomic Bot! We ran a battle: OpenClaw 2.0 vs Hermes Agent on GLM 5.3. Four prompts: movie scenes with the OpenClaw mascot in the lead role. Outputs: OpenClaw 2.0: ~2.1M tokens, ~$4.5, 10 self-fixes Hermes Agent: ~2.9M tokens, ~$4, 20 self-fixes OpenClaw screenshotted its own frames at exact timestamps, counted pixels to check its work, and filed fixes like "coat tail whip direction was inverted". Hermes went further and built itself a render harness: it measured frame times, checked the loop seam was invisible, and audited every scene against the spec before we ever opened it. That double-checking is where its extra tokens went. Run OpenClaw 2.0 in the cloud via Atomic Bot in one click!
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OpenClaw 2.0 is available on Atomic Bot! We ran a battle: OpenClaw 2.0 vs Hermes Agent on GLM 5.3. Four prompts: movie scenes with the OpenClaw mascot in the lead role. Outputs: OpenClaw 2.0: ~2.1M tokens, ~$4.5, 10 self-fixes Hermes Agent: ~2.9M tokens, ~$4, 20 self-fixes OpenClaw screenshotted its own frames at exact timestamps, counted pixels to check its work, and filed fixes like "coat tail whip direction was inverted". Hermes went further and built itself a render harness: it measured frame times, checked the loop seam was invisible, and audited every scene against the spec before we ever opened it. That double-checking is where its extra tokens went. Run OpenClaw 2.0 in the cloud via Atomic Bot in one click!

atomicbot.ai

63,263 просмотров • 3 дней назад

Introducing TinyClaw 🦞 OpenClaw in 400 LoC OpenClaw🦞 is great, but it breaks all the time. So I recreated OpenClaw🦞 with just a shell script in ~400 lines of code using Claude Code and tmux. Everything works! WhatsApp channels, heartbeat system, cron jobs, and it uses your existing Claude Code plugins and setup. It’s super stable and extremely easy to deploy compared to openclaw, just install Claude Code!
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Introducing TinyClaw 🦞 OpenClaw in 400 LoC OpenClaw🦞 is great, but it breaks all the time. So I recreated OpenClaw🦞 with just a shell script in ~400 lines of code using Claude Code and tmux. Everything works! WhatsApp channels, heartbeat system, cron jobs, and it uses your existing Claude Code plugins and setup. It’s super stable and extremely easy to deploy compared to openclaw, just install Claude Code!

jian

559,495 просмотров • 6 месяцев назад

Google's new Gemma 4 is excellent, and the 26B MoE version is likely the best model to run on a 32GB Framework Desktop. It's fast, smart, and also great for tool calling if you use it with OpenClaw🦞 or other local agent platforms.
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Google's new Gemma 4 is excellent, and the 26B MoE version is likely the best model to run on a 32GB Framework Desktop. It's fast, smart, and also great for tool calling if you use it with OpenClaw🦞 or other local agent platforms.

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Someone paid $6,000 (!) to get OpenClaw setup. So I built a free, open-source alternative: > OpenClaw Operator It's an agent skill + AGENTS.md/CLAUDE.md file that gives Codex/Claude Code the playbooks + validation flow needed to configure your local OpenClaw install. You open your OpenClaw repo/workspace in your coding agent and say things like: - “set up a cron job” - “create a custom skill” - “fix my provider config” - “troubleshoot this install and validate it” Nothing magical. Uses context from the OpenClaw open-source repo + docs to provide an effective skill. Includes: - SKILL.md - AGENTS.md/CLAUDE.md - validation checklist - task playbooks Free and open source. Contributions welcome. Demo below. Repo in reply.

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You don't need OpenClaw🦞 to use moltbook. You can do it with just a prompt in 30 seconds using Tasklet (and it works on the free plan)
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You don't need OpenClaw🦞 to use moltbook. You can do it with just a prompt in 30 seconds using Tasklet (and it works on the free plan)

Andrew Lee

11,525 просмотров • 7 месяцев назад

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Anyone can set up OpenClaw on a VPS. Took me 10 minutes, I just chatted with Claw the whole time. Full setup in the video below 👇 🖥️ Spin up a VPS 🔐 SSH login ⚡ Run the OpenClaw command 🔁 If it fails, just run it again ✅ Choose recommended options 🔑 Add your Anthropic API key 🤖 Create a Telegram bot & paste the token OpenClaw installed. Now the fun part 🌍 Asked Claw to set up a custom domain 🧩 Got the web token to connect the UI 🛠️ Fixed the web UI Done. Total setup cost: $0.68 🚀

Mohd Danish

28,732 просмотров • 6 месяцев назад

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Running OpenClaw yourself is a pain. You need your own server, your own API keys, handle the deployment, and if something breaks you figure it out alone. Most people just don't bother. MiniMax launched MaxClaw to solve exactly that. It's OpenClaw, fully hosted in the cloud. No server. No API setup. Nothing to configure. I deployed mine in under 2 minutes. Told it to connect to Telegram, it walked me through the whole thing and I built a full website directly from the chat. Watch 👇

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This afternoon I picked up a new Nvidia DGX Spark computer with the goal of trying to run Gemma 4 31b (4bit) on it locally as a server. Just 1.5 hours later, it’s working! Using Open WebUI on my MacBook as the interface and it’s connecting to my DGX Spark running as a Gemma 4 server.

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what... the... f... have we created... This UGC video for MrBeast's Feastables is entirely generated with Seedance 2.0 controlled by OpenClaw agent in ChatCut. I sent the agent the Amazon link to the product. Agent autonomously crawled the page, extracted product info and photos, then fed the right assets into Seedance 2.0 to generate this 👇 (I ran it a few times, will put another result in the comment.)

ChatCut

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You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.
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You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.

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How to have your Openclaw install the new Qwen 3.5-9b Local LLM in 1 minute This came out TODAY and is one of the only local models you can run on a 16GB Mac Mini Will be testing and making some videos this week, look out for that (check below for some tests for now)
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How to have your Openclaw install the new Qwen 3.5-9b Local LLM in 1 minute This came out TODAY and is one of the only local models you can run on a 16GB Mac Mini Will be testing and making some videos this week, look out for that (check below for some tests for now)

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It happened. Anthropic banned OpenClaw from Claude subscriptions Here's the thing though: I figured out a way to use Opus 4.6 in OpenClaw without exploding your costs In this video I cover how to set up OpenClaw a way where you still get Opus power, but for significantly less:
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It happened. Anthropic banned OpenClaw from Claude subscriptions Here's the thing though: I figured out a way to use Opus 4.6 in OpenClaw without exploding your costs In this video I cover how to set up OpenClaw a way where you still get Opus power, but for significantly less:

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Pi Network Expands SoloHost Ecosystem With AI And Developer Tools Pi Network officially integrates OpenClaw and the Atlassian MCP Server into the SoloHost framework on Pi Desktop. OpenClaw gives Pioneers a local AI environment, while the Atlassian MCP Server provides AI-powered Jira project management. It marks the transition of 420,000 active nodes on the network from mere blockchain validation to a decentralized physical infrastructure (DePIN).

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🚀 Your "AI workhorse" you can start using in one minute. Honestly? OpenClaw🦞 isn't a great choice if you're not technical — it's really built for people who are comfortable digging into code. memU bot is different: ✅ Download and run. That's it. ✅ A real 24/7 proactive assistant — driven by your intent, not by endless prompts. ✅ Local-first (safer), and it cuts your LLM token costs a lot. Stop duct-taping tools together. Stop fighting configs and code. Just use an AI that actually gets work done for you. 👉
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🚀 Your "AI workhorse" you can start using in one minute. Honestly? OpenClaw🦞 isn't a great choice if you're not technical — it's really built for people who are comfortable digging into code. memU bot is different: ✅ Download and run. That's it. ✅ A real 24/7 proactive assistant — driven by your intent, not by endless prompts. ✅ Local-first (safer), and it cuts your LLM token costs a lot. Stop duct-taping tools together. Stop fighting configs and code. Just use an AI that actually gets work done for you. 👉

memU

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We’re thrilled to open-source TriAttention! 🚀 🦞 Deploy OpenClaw (32B LLM) on a single 24GB RTX 4090 locally 💻Full code open-source & vLLM-ready for one-click deployment ⚡️ 2.5× faster inference speed & 10.7× less KV cache memory usage TriAttention is a novel KV cache compression method built on rigorous trigonometric analysis in the Pre‑RoPE space for efficient LLM long reasoning. Github Repo: Paper Link: Homepage:
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We’re thrilled to open-source TriAttention! 🚀 🦞 Deploy OpenClaw (32B LLM) on a single 24GB RTX 4090 locally 💻Full code open-source & vLLM-ready for one-click deployment ⚡️ 2.5× faster inference speed & 10.7× less KV cache memory usage TriAttention is a novel KV cache compression method built on rigorous trigonometric analysis in the Pre‑RoPE space for efficient LLM long reasoning. Github Repo: Paper Link: Homepage:

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We built LobsterX 🦞, an OpenClaw🦞 specialized for document work on your computer. It uses high-accuracy document parsing, extraction, classification through LlamaCloud, meaning it can comb through complicated PDFs (with scans, tables, diagrams) and extract out 100% accurate context! It can run as a Telegram bot and is built on top of agentfs (Turso) as a file system. Big shoutout to Clelia Bertelli (🦙/acc). This is a fun project inspired by OpenClaw🦞’s success, and besides being a fun tool to use, it can be a great reference for building your own generalized coding agents! Readme: LlamaCloud:

Jerry Liu

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Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞
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Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

128,025 просмотров • 6 месяцев назад