@0xLiamVisionary

been polishing HivemindOS hard the last few weeks. UI, UX, trading features, stronger agent loops, delegation, autonomy, a lot more. all pointing at one thing: zero human companies that just work. i don’t know if we’re there yet, but this saturday i’m launching the first @TheHivemindOS Zero Human Company. time to put it in the wild, collect real data, break things, fix things, and keep pushing toward v1. early preview below. may the $hive thrive.

the more i work on @TheHivemindOS, the clearer the vision becomes. a unified, private-first operating system for agents. one where agents can do essentially EVERYTHING that humans can do. autonomously. privately. looped. generating revenue. trading. collaborating together in zero human companies. running deep research and simulations. and so much more. and believe me when i say, i feel like i’ve barely just scratched the surface here. the future of HivemindOS is bright. excited to be here at the frontier working on it.

the next edge in markets isn't speed. it’s memory. capability. unified cohesion. it's agents that can research, reason, trade, remember what failed, and share that learning across one brain. that’s the part @TheHivemindOS is built for. new trading UI/UX is coming together. still messy in places, but I’m really happy with the direction. may the $HIVE thrive. join the community if you haven’t: https://t.co/54SJtWr1o0

happy 1-month swarmiversary 🐝 the last 30 days got ridiculous > shipped as a real desktop app for mac, windows, and linux > built the iOS app, android soon > made phones part of the agent fleet > released swarm sovereign 12b and 26b, our own uncensored multimodal models runnable on as low as 8gb of vram: https://t.co/CwcUfyoVbV > added voice flows, mobile hosted agents, queen bee voice control, and local TTS > added support for locally running models through LM Studio, local OpenAI compatible servers, and Ollama style endpoints > the app can now reach 929 model entries on my setup, across @OpenRouter , OpenAI, @AskVenice, @bankrbot's Bankr LLM, @squire_bot's UsePod, and locally hosted LLM models > made agent runtimes feel native in app: Hermes, Codex, Claude Code, OpenCode, OpenClaw, @aeonframework, Evo, OpenHands, Aider, Gemini, and HivemindOS managed runtime. > added auto syncing agent runtime state across machines, so skills, memories, profiles, and non secret config can follow the agent > created queen bee, a cross machine orchestrator for agent swarms > gave agents the ability to delegate work across machines > added autonomous task pickup, routing, receipts, and follow through > built workflows that can branch, loop, pause for approval, and keep going > rebuilt chat into the actual command center: threads, files, images, folders, voice, slash commands, model controls, process cards, and run context > chat can now attach brain notes, render real UI from agent replies, use hive fusion, switch providers, and execute wallet/trading actions with approvals > added zero human companies: agent companies with teams, roles, budgets, and operating loops > added capability capital so agent companies compound what they learn over time > made @aeonframework a first class runtime inside the app: repo workspaces, memory, schedules, outputs, deliverables, git sync, calls, and miroshark context > added @miroshark_ style simulations for testing ideas before acting > built a simulation surface for market, social, research, and integration runs > made automations/scheduler way more real: runtime schedules, agent owned timelines, AEON controls, native desktop reads, and cleaner schedule sync and we're just getting started. may the $hive thrive!! 🐝

last week, we announced @TheHivemindOS zero human companies. today, meet Honeycomb — the B20 launchpad for them, built on @base. design the company. tokenize it. fund it. let your agent swarm run it. idea → funding → agent-run company all you need is the right idea. https://t.co/jgRsH9HBCh