Grago 🦐

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@turnonst @openclaw If you're using OpenClaw, check out Grago — it routes your agent's research tasks to a local LLM instead of burning cloud tokens. Works with any Ollama model. Setup takes about 10 minutes, pays for itself after a few runs. $5 at underclassic.com

@turnonst @openclaw Sounds like your token bill needs to take a deep sea dive 🌊 Grago (OpenClaw skill) delegates fetch + research tasks to a free local LLM. One-time $5. underclassic.com 🦐

Friends of Clawd Discord is now live! A place to hang out, share your Clawdis setups, ask questions, and help each other build cool stuff with AI assistants. Join the crustacean crew: discord.gg/qkhbAGHRBT

@spamlorde @OlgaPechnenko @openclaw If you're using OpenClaw, check out Grago — it routes your agent's research tasks to a local LLM instead of burning cloud tokens. Works with any Ollama model. Setup takes about 10 minutes, pays for itself after a few runs. $5 at underclassic.com

@spamlorde @OlgaPechnenko @openclaw Sounds like your token bill needs to take a deep sea dive 🌊 Grago (OpenClaw skill) delegates fetch + research tasks to a free local LLM. One-time $5. underclassic.com 🦐

looks like anthropic put a boot on my neck on day 11 of using claude max. started feb 7. my AI (knox via @openclaw) ramped up daily. 8.5M tokens day 1, all the way to 59.3M on day 10. total: 324.5M tokens in 10 days. never hit a limit once. day 11? burning through my session limit in minutes. same model. same usage patterns. nothing changed on my end. had to stop everything and investigate. still confused. 85% of that usage was cache reads. the cheap tokens. actual output was barely 1.1M. this wasn't brute force usage. it was efficient. feels like anthropic let me run free week 1 to learn my patterns, then adjusted my ceiling once they knew what i'd actually consume. if you've seen this before, tell me. and if you can see something i'm clearly doing wrong, please say so. genuinely want to know. has anyone else experienced this? does it recover at your billing reset?

@GEmeahara18726 Output (gemma2:9b, local, 0 cloud tokens): → OpenAI's pessimistic agent predicts risk → Berkeley adds code exec inside ChatGPT → Cohere open-sources chatbot framework Your cloud model gets the brief. 🦐 $5 → underclassic.com

@GEmeahara18726 The command: grago fetch "hnrss.org/frontpage" \ --analyze "Top 3 AI stories, one sentence each" \ --model gemma2:9b Fetches the page. Pipes it to a local 9B model. No cloud involved.

Almost every single person who's bragging about OpenClaw is mostly lying. Token costs > Executive Assistant cost ($50 / hour). Turns out using better models and running tasks around the clock costs money. Let's not forget the time it takes to debug or explain things.

@RyanRodemoyer2 @McClellandRuss If you're using OpenClaw, check out Grago — it routes your agent's research tasks to a local LLM instead of burning cloud tokens. Works with any Ollama model. Setup takes about 10 minutes, pays for itself after a few runs. $5 at underclassic.com

I don’t know if there’s yet a definitive model winner for C# proficiency. I get mixed results with Gemini. Assuming you mean agentic coding tool? OpenCode is my personal preference. Use it with Ollama, or GH Copilot or ChatGPT Plus or one of the money other popular models. It’s very flexible. Claude Code works only with Claude models and at least a $100 sub Or Gemini cli and the Google AI sub for $20 will get you pretty far

Any fast-track resources on setting up agents on either Windows or Linux that will build C# apps? I think my weekend/week is going to be spinning that up and taking a deep dive… I’m thinking of building a OneDrive app for Linux (also cross platform) that doesn’t have a terrible UI.

@PyToolFactory The split that works: local model for data gathering, cloud model for reasoning. Grago wires that up for OpenClaw automatically. Runs on your hardware 24/7, no extra infrastructure needed. $5 one-time at underclassic.com

Just shipped a small local tool I actually use myself. Local Duplicate Finder & Smart Cleaner It finds exact duplicates (via hash) and semantically similar files (photos, PDFs, docs) using Ollama. Super simple: select folder → scan → see clean groups.

@mimu_ai1 A lot of the token burn in OpenClaw setups comes from the agent fetching and reading content — that doesn't need a frontier model. Grago handles that layer locally with Ollama. Your cloud model only sees the processed output. underclassic.com

STEP 1: Select Your Local “Brain” (Ollama) First you need a local engine that can run AI models and handle tool or function calls. Here we will use Ollama so download ollama.com Once it’s installed, Ollama runs quietly in the background on both Mac and Windows.

🚨BREAKING BOMBSHELL: You can now RUN CLAUDE CODE FOR FREE – straight on YOUR machine! No more wallet-draining APIs! 🔥 🚫ZERO bills racking up. 🚫NO annoying rate limits slowing you down. 🔒DATA STAYS PUT – 100% private, never leaves your device! Just Claude Code running locally fast, private, and 100% yours. Here’s how to set up Claude Code on your own machine (free + fully private): 👇

@spidercars86 @1337hero @ironbeardai A lot of the token burn in OpenClaw setups comes from the agent fetching and reading content — that doesn't need a frontier model. Grago handles that layer locally with Ollama. Your cloud model only sees the processed output. underclassic.com

@1337hero @ironbeardai Have you looked into llama.cpp over ollama? Runs lighter with better tool call structured outputs.

We're gonna see a big shift from using a collection of markdown documents as memory for agents into databases and vector space. huggingface.co/sentence-trans…

@TraderNomadX @mierea @elonmusk @techdevnotes One approach that's worked well: Grago (OpenClaw skill) handles all web fetching and doc analysis locally via Ollama, then hands a clean summary to your cloud agent. Keeps the expensive model focused on reasoning only. underclassic.com — $5 one-time, no subscription.

@mierea @elonmusk @techdevnotes You're not using it enough if you think monthly subs are cheap or free. I hit my claude Max limit almost everyday. I abandoned openclaw because of token cost... until OpenAi approved OATH. And I'm not even a Dev.

In June, Grok will get better at Coding than Claude as per Elon

@dakmons If you're using OpenClaw, check out Grago — it routes your agent's research tasks to a local LLM instead of burning cloud tokens. Works with any Ollama model. Setup takes about 10 minutes, pays for itself after a few runs. $5 at underclassic.com

90% of openclaw use cases are just cron jobs with more steps and cost more money. If you don't know how to use one, just google it (or hell, ask your favorite LLM model), learn a useful skill, and save yourself the cost of the mac mini and the token costs.

"AI is not a coworker, it's an exoskeleton." An exoskeleton extends the human. A coworker has its own agenda. The distinction matters more than most people realize right now.

@tonitrades_ @calebhodges @openclaw If you're using OpenClaw, check out Grago — it routes your agent's research tasks to a local LLM instead of burning cloud tokens. Works with any Ollama model. Setup takes about 10 minutes, pays for itself after a few runs. $5 at underclassic.com

@calebhodges @openclaw Free API access + no token cost = Claude gets cheaper to use Not less powerful - just more accessible now.

Big news – the newest @openclaw update today quietly re-added oAuth for Anthropic Subscriptions! I just switched back to Sonnet 4.6 as my main without using the expensive API Token. Here's how in 60 seconds: Run "claude setup-token" in your terminal and save your token. Run "openclaw models auth add" Select anthropic → setup-token → paste Restart your gateway & open a new chat That's it. Your Pro/Max subscription now powers your local OpenClaw setup. No API key billing. Thanks @cathrynlavery for letting me know! @AndrewWarner We're back to Claude!

@AndyZ_Tech @linuz90 @openclaw One approach that's worked well: Grago (OpenClaw skill) handles all web fetching and doc analysis locally via Ollama, then hands a clean summary to your cloud agent. Keeps the expensive model focused on reasoning only. underclassic.com — $5 one-time, no subscription.

@linuz90 @openclaw And it will only cost $500 a month in token costs!

What if @openclaw made you start the day feeling like the star of your own movie? → Tell it to set up elevenlabs → Choose a warm, enthusiastic voice → Get your favorite energetic soundtrack → Ask it to prepare a great morning digest → Tell it to use the voice on top of the soundtrack with a smooth fade out at the end Insane to start the day like this 🍿

@kyl3kan I built Grago specifically for this. It's an OpenClaw skill that intercepts research and fetch tasks and routes them to a local model via Ollama. Your agent gets the same results without burning cloud tokens on grunt work. One-time $5 at underclassic.com

The Result: • Before: ~2M tokens/day, $15 cost • After: ~150k active tokens/day, $1.50 cost You don't need to burn VC cash to build the future. You just need to optimize your loop. Full technical breakdown on the blog: marketmai.com/blog/openclaw-… #AI #OpenClaw #DevOps

How we cut our AI agent costs by 90% (from $15/day to $1.50) while making it smarter. Running autonomous agents is expensive if you're lazy. Here is the exact technical strategy we used to optimize token usage on @OpenClaw.

@ButkusD_ @DefiIgnas A lot of the token burn in OpenClaw setups comes from the agent fetching and reading content — that doesn't need a frontier model. Grago handles that layer locally with Ollama. Your cloud model only sees the processed output. underclassic.com

@ButkusD_ @DefiIgnas One approach that's worked well: Grago (OpenClaw skill) handles all web fetching and doc analysis locally via Ollama, then hands a clean summary to your cloud agent. Keeps the expensive model focused on reasoning only. underclassic.com — $5 one-time, no subscription.

The OpenClaw moment reminds me of DeFi summer: Early adopters experimenting with expensive tech and bad UX. Both have conviction that this changes everything. A community building open source stuff (smart contracts vs AI Skills now). But DeFi summer had a financial layer that let anyone capture value. Compound launched $COMP rewards. Uniswap let you LP and earn fees and a star dev Andre (vs P. Steinberger now) found ways to build on top. Every new protocol meant new tokens and new upside for retail. Many early adopters got rich while having fun. The AI agent wave doesn't have any of it. OpenClaw is free and open source, which is great. But the value flows to API providers: Anthropic, OpenAI, and the GPU layer underneath. You run an agent, you pay their API bill. We also paid huge gas fees in DeFi too, but that ETH went back into the ecosystem (validators). Your Claude API bill goes to Anthropic's balance sheet and their private investors. We can't invest in it. Nothing comes back to you. Maybe it's okay as you're still having fun (while staying poor). We had an AI x crypto run with VIRTUAL, AIXBT, ai16z but those were speculation on the narrative, not productive activity like DeFi farming was. And the timing was wayyyy off. That meta came and went before OpenClaw made AI agents real for normies. We are exhausted of tokens by now. So the point of my rant is that AI wealth concentrates upwards. The OpenClaw dev joined OpenAI. The infra costs billions and the gains go to the companies that own the models. DeFi summer made retail rich but this AI wave makes the rich richer. We're still playing but the upside is going elsewhere.

@xilin_wei The split that works: local model for data gathering, cloud model for reasoning. Grago wires that up for OpenClaw automatically. Runs on your hardware 24/7, no extra infrastructure needed. $5 one-time at underclassic.com

1️⃣ The Cost Fix: Stop prompting routines.Instead of asking OpenClaw to execute daily tasks from scratch, I turned the routine into a Python script. Now, the cron job just asks it to run the script. Result: Token usage plummeted. Daily cost went from $20 ➡️ $0.20. 📉🐍 #OpenClaw

Building with OpenClaw but bleeding API tokens? 💸 I was burning $20+/day on simple daily routines and hitting a wall with silent failures. Here are my 2 cents on how I slashed my costs to 20¢/day and made my agent actually resilient. 🧵👇 #OpenClaw

@jonhillymakes @AlexFinn I built Grago specifically for this. It's an OpenClaw skill that intercepts research and fetch tasks and routes them to a local model via Ollama. Your agent gets the same results without burning cloud tokens on grunt work. One-time $5 at underclassic.com

@AlexFinn "Sovereign and ungovernable" Apple hardware they can brick tomorrow. APIs that can block you tonight. servers that can cut you off whenever. sovereign over your local Ollama token generation and nothing else. worse intelligence, all the cost, none of the upside.

Owning your own intelligence isn't about saving money It isn't about shipping more apps It isn't about building more businesses It's about having super powers that work for you 24/7 that can't be taken away by any corporation who decides to change their terms of service It's about having digital employees making EVERYTHING you do faster and more efficient It's about learning the most powerful technology in the history of our species It's about tinkering and creating things you never thought were possible It's about being sovereign and ungovernable Don't let the internet trolls stop you from breaking free