Explore tweets tagged as #agentOS
Building AgentOS - A Claude Command Center for MacOS that works as an AI operating system. Technical and non-technical users alike can build mini-apps, tools, and deploy autonomous agent teams, all on your local machine. Here's what makes it stand out:
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AgentOS UI/UX update Improving the Agent Builder with cleaner flows, drag-and-drop functions, and tighter UI <-> backend sync to reduce setup friction and prep for upcoming integrations.
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Your stack is no BS and GSD really living to its promises... I treid BMAD, AgentOS, SpecKit, OpenSpecs, Ralph and Ralph plugin but now $GSD is not cutting corner. Analysing your prompt it's brilliant.
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Your senior team is handling wrong calls. Routine questions waste time that should fuel revenue. AgentOS sits at the routing layer—instant answers for basics; high‑intent chats go to a human with context. Which calls deserve your team's time?
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completed 5/5 tasks - make the dashboard for AgentOS ✅ - cold emails setup ✅ - fixing bugs in AgentReach ✅ - posting 5x ✅ - create and add knowledge base to project ✅ Time worked - 5h 31m
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AgentOS core is live: real-time agent monitoring, registry-backed APIs, role-based execution, and persistent agent state. We’re now working on framework-level integrations building adapters for external agent runtimes, execution context bridging, and task/message
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$AGENTOS is a memecoin for AI agents that aim to redefine how work gets done, letting anyone build their own agent in minutes. EiiSGopY2A4U1BCQn4V7QZSwij8QnJwrvvh5knpapump
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Most inbound calls don’t deserve a human. Routine questions waste top reps’ time while high-intent calls get stuck in queues. AgentOS handles the basics, surfaces context, and only escalates when it matters. Comment AGENT to see how we filter to qualified conversations.
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Taking one hour a day—that's how the agentOS team started its journey toward embedding AI into its business strategy, according to CEO Glyn Trott. Their IT team began each day by discussing AI use cases before diving into daily tasks. Now, what began with the IT team has
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Talked about @AgnoAgi AgentOS at MCP Server Builder Series ! It was a great meetup . Thank you @hey_amandam @apollographql
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I built a complete AI Finance System in 50 lines of code with @AgnoAgi . Two specialized agents: → Financial Advisor (budgeting, savings, investments) → Budget Tracker (expense insights + monthly review) Full AgentOS with memory + FastAPI backend. Here's what happened 🧵
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Want to expose your Agno AgentOS as an MCP server for external clients? 🛠️ Our step-by-step guide shows you everything you need to know: https://t.co/mQ7vfLEy0y
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just vibecoded AgentOS a dashboard in ~12hrs straight built for my inbound voice agent service clients can track calls, performance, and progress and message support directly — it pings my slack instantly
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