OpenClaude from GitLawb running through Atomic Chat's local model MacBook Air M4 16GB RAM - blazing fast No API key. No cloud. Fully open-source

Download for macOS: Explore our GitHub:

awesome! free for all!

Local features will be free forever – that’s one of the main reasons we’re building Atomic Chat. Running AI and agents locally can significantly reduce costs for businesses.

@gitlawb the best thing in life is free!

@gitlawb are you talking about OpenClaude? 😉

@gitlawb freedom to choose any model, its OpenClaude 😉

@gitlawb Have you tested this for coding with OpenClaude yet?

@gitlawb Not yet. If you test it, we’d be glad to hear your feedback here ;)

@gitlawb Wow, looks like I can skip my next Claude subscription

@gitlawb sure. local ai is a narrative of 2026

@gitlawb running agent on local models it is incredible! so it is totally free and 100% private

@d4n_nnyy @gitlawb Nice! Free Claude 🔥

@d4n_nnyy @gitlawb Not only is it free, but it also runs locally on your machine and has a context window that’s three times larger.

@gitlawb Insane tech

@gitlawb I have tested running local agent with atomic chat and the result is incredible! context for my agent expanded in 3 times!

@gitlawb This is exactly why local setups are gaining traction fast, predictable, and no billing surprises.

@gitlawb Will try this combo out!!

@gitlawb Who are the devs for this team? I’ve been interested in your stuff for the Gemma 4 + Hermes stack but there’s absolutely no info on your website or GitHub that would make me believe you’re trustworthy :(

@gitlawb Awesome 🤩

@gitlawb i'm curious how the 16gb ram holds up with larger models, have you tried running anything bigger than local on that macbook air?

@gitlawb We ran Qwen 35B on a MacBook M4 with 16GB of RAM. It worked fine.

@yabsssai @gitlawb Sério? Como? Simples como no vídeo de demonstração?

@atomic_chat_hq @gitlawb sim, é simples, basta seguir os passos que mostro no vídeo e você consegue fazer isso sozinho sem precisar de ajuda adicional

@gitlawb Dayym, free claude Lfggg

@MedraTheMain @gitlawb 👀

これってOpenAIのAPIコスト問題を完全に回避する裏技ですよね クラウドAPIだと使用量に応じて青天井で課金されるけど、ローカルなら電気代だけ MacBook Air M4の16GBでサクサク動くなら、月額API料金を考えると3-4ヶ月でハードウェア代金ペイできる計算 特にプロトタイプ段階でAPI叩きまくる開発者には神ツール データもローカル完結だからセキュリティ面でも企業利用のハードル下がりますね

@Sigma_Browser @gitlawb @atomic_chat_hq need on Windows

@Sigma_Browser @gitlawb building it RN 🫡

@gitlawb No API key, no cloud dependency. Local models quietly solving the problems cloud providers ignore.

@gitlawb totally free 🤩

@d4n_nnyy @gitlawb totally private 😉

@gitlawb 🤨🤔

@gitlawb Could you do for window.

@gitlawb Local execution changes everything when you're dealing with sensitive data or can't afford API downtime. The M4 handling this smoothly is impressive - that's the sweet spot between performance and portability for serious dev work.

@gitlawb @696_eth git for agents $gitlawb worth a look

@gitlawb Will it have any impact on MacBook’s hardware? Like storage or battery?

@gitlawb M4 making local inference this usable on a macbook air is wild. a year ago you needed a 4090 for anything decent. hardware efficiency and model compression keep meeting in the middle

@gitlawb API Error: 400 {"error":{"code":400,"message":"request (22485 tokens) exceeds the available context size (16384 tokens), try increasing it","type":"exceed_context_size_error","n_prompt_tokens":22485,"n_ctx":16384}} i get this error

@gitlawb any insights? who tested this thing?

@gitlawb I love Atomic. 🖤 I really hope that soon there will be options like creating skills within a project, or the ability to connect apps to generate edits, invoices, charts, etc. (locally and offline)—and that it soon evolves into a perfect agent, much like Openclaw or Hermes.

@gitlawb TOP 🔝

@Frffieqd @gitlawb lfg!

@gitlawb On M1 AIR

@AlexFromAtomic @gitlawb cc: @jandotai

@gitlawb @KAPOTHEGOAT01 @gitlawb set to position itself as the agentic git, followed by clem at huggingface as well

@gitlawb @Altcoinist 👀 git for agentic era clem from huggingface also following