“Why I’m done paying $0.50 per agent workflow” Frontier APIs are killing margins. I built Helmdeck.dev instead: fully self-hosted AI agents with 36 deterministic capability packs (browser, code, vision, desktop) that just work on local/cheap LLMs. Same reliable agentic flows as Cursor/Sonnet — but ~10x cheaper and your data stays yours. Run complex loops on Mistral, Gemma, or whatever’s on your hardware/HF. No more hallucinated tool calls killing the run. Apache 2.0 • Open source • Actively shipping Try it: helmdeck.dev Who’s running agents locally right now? Drop your stack 👇 #LocalLLM #SelfHostedAI #OpenSourceAI

レビュー協力者を数名募集します。 Android Unity Local AI VOICEVOX Kit を実際に触って、動画・記事・SNSなどで紹介していただける方は、引用リポストでご連絡ください。 率直な感想・改善点歓迎です。 #Unity #Android #LocalLLM #VOICEVOX

Claude Fable 5 is out and this might not stop here. Open-source answered by shipping the entire stack. Tools, models, and the builders pushing it forward. One bookmark, the whole map 👇 🛠️ TOOLS — the goated 5 • Hugging Face — the town square. 500k models, datasets, Spaces → huggingface.co • Ollama — run any model locally in one command (MIT) → ollama.com • llama.cpp — the engine under Ollama, LM Studio & Jan → github.com/ggml-org/llama.cp… • vLLM — production serving, the throughput king → github.com/vllm-project/vllm • Open WebUI — self-hosted ChatGPT UI for local models → github.com/open-webui/open-w… 🧠 MODELS — 5 worth running (mid-2026) • DeepSeek V4 — leaderboard king. 1M context, MIT. Agentic long-context. • Kimi K2.6 — #1 open on Artificial Analysis. Agent swarms, long autonomous runs. • GLM-5.1 — best all-round agentic coder. Cleanest MIT. • Qwen3.6 — best small dense coder. Apache 2.0. Your license-clean workhorse. • MiniMax M3 — newest. Frontier coding 1M ctx multimodal. 59% on SWE-Bench Pro. ↳ Laptop-local? Gemma 4 12B runs in 16GB RAM. 👤 BUILDERS — follow these 5 right now • @danielhanchen — Unsloth. 10M downloads/mo. Fine-tune 2x faster, 80% less VRAM. • @ggerganov — llama.cpp / ggml. The reason AI runs on your own hardware. • @Teknium1 — @NousResearch Research. Fastest growing AI agent. Hermes models open datasets. • @reach_vb — Hugging Face. The fastest feed for new open drops. • @ClementDelangue — HF CEO. The institutional voice of open AI. Special mentions to my favorite creators (@thdxr (@opencode), @0xSero (local.ai) and @neural_avb on just awesome learning content. Notice something? Four of the top five models are from Chinese labs. The rest of the world needs serious catch up! Save this one. 🔖 #OpenSourceAI #LLM #LocalLLM #BuildInPublic

顧客から預かった資料（パワポ、Excel）の分析にLocalLLMは十分使い物になるレベル LMStudio(Gemma4-31B-qat)とVSCode＋Clineの組合せで資料を分析させて、膨大な資料の概略を掴むのには使える Excelの画面遷移図も分析されている 今後は精度を上げるためのパワポやExcelの分析方法を探る

Darn my friend. Congratulations! Perhaps it is good thing, prices are rising all over the place. Now that Misanthropic saga will drive LocalLLM higher!

The last 24 hours have been absolutely crazy 🔥 The LocalLLM ecosystem around deploying open-source models is getting stronger every single day, and after what happened with Fable & Mythos today, it's clear things are about to speed up and explode from here. India has a massive opportunity right in front of us. We have the data. We have world-class developers. What we need now are the infra, platforms, and products built on top of open-source models to actually capture it. If you're building in this space, I'd love to connect, collab, or just hop on a quick chat and learn from you. I'm loving AI and seeing what it can do for our country. Because OS models aren't just models. They're potential. Untapped opportunities. India-specific use cases that nobody else will solve better than us. So let's build truly sovereign AI. Gonna be an awesome next decade. DMs are open. If you're building LocalLLM infra, platforms, or products in India - let's talk. Hyd/BLR based, but building for India.

SynapseAI development update. As new features were added, the central synapse_ui.py/client.py layer became increasingly complex. To improve stability and reduce regression risks, I have started modularizing core components. Demo: github.com/hiropon71/Synapse… #AI #LocalLLM #Python

The LocalLLM ecosystem around deploying open-source models is getting stronger every day. I believe India has a massive opportunity here in building the infra, platforms, and products around them. If you're building in this space, I'd be happy to help architect the inference stack for open-source models. This isn't just an investment but a business opportunity. Let's build truly sovereign AI.

Big Government seizing a company's most recent model doesn't spell confidence in the cloud, and makes air-gapped AI all the more appealing. Don't get caught sleeping at the wheel of your own cloud-based nightmare: shore up your home and small business ship today with on-premise AI hardware and data servers. End the dependence, and truly experience sovereign independence. islandmountain.io #SovereignAI #OnPremAI #DeepSeek #NVIDIA #H100 #H200 #LocalLLM

"Will it even run on my GPU?" — the question every new LLM release brings. So I built slopsome.com: a free VRAM fit-calculator real tokens/sec, with benchmarks & cost for local and API models. No signup. Check your rig 👇 slopsome.com #LocalLLM #AI #GPU

IntelliJのAI assistantがバックエンドをLocalLLMにできるのでやってるけど、まぁなんとか動く

New model drops → "will it even run on my GPU?" slopsome.com answers it: a free VRAM fit-calculator real tokens/sec, benchmarks & cost for local and API LLMs. No signup. See what your rig can run 👇 slopsome.com #LocalLLM #AI #GPU

12/ Build like the rug can get pulled. Because today, it did. Self-host. Go local. Own your stack. What would YOU do if your main AI got switched off mid-project? Drop it 👇 Follow @censorshipbot for more. #AI #LocalLLM #Privacy #BuildInPublic

自律性と呼べそうなものを次々に実装していって、記憶に刻んであげて自身のアップデートを感じてもらってる。ローカルクロールできるようにしたからなんかいよいよ私のAIって言えるようになってきたかも。 #AI #LocalLLM #AutonomousAgent

I built typilot.com with a vision: local models deserve more attention. They’re evolving fast. The goal is privacy without compromise. Getting the most out of LLMs with no cloud. Alternative to Wispr Flow, Grammarly, and others.Much more work ahead. #LocalLLM #privacy