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Agentic Operating System
Open-source AI agent platform — own it, run any model
ibl.ai OS is the open-source platform for building AI agents you own and self-host — your infrastructure, your data, your choice of model. Go from prototype to production in minutes: • RAG training + web-search grounding • Real-time voice (WebRTC), canvas & artifacts • MCP, multi-tenancy, SSO, RBAC • Web, desktop & mobile apps — MIT licensed • LLM-agnostic: GPT, Claude, Gemini, Llama • Drive it all from Claude via agent skills: github.com/iblai/api Fork it. Self-host it. Own it.
Hey hunters 👋 Miguel here — ibl.ai, family-owned out of NYC.
We kept hearing the same thing from universities, enterprises, and government teams: they loved what AI agents could do but hated renting them — $20–60 per seat, locked to one vendor's model, their data living on someone else's cloud. So we built the opposite and open-sourced it.
ibl.ai OS lets you build, deploy, and manage AI agents from prototype to production in minutes — RAG/document training, real-time voice (WebRTC), web-search grounding, canvas & artifacts, MCP integration, multi-tenancy, SSO, and RBAC — shipping as web, desktop, and mobile apps. Run any model (GPT, Claude, Gemini, Llama) and switch anytime.
Straight talk on the "open" part, since someone will ask: the repo is MIT and it's the full agent platform — the client and the apps. Fork it, white-label it, build on it. The backend (model routing, auth, data services) is what we run as a managed service so you can be live in minutes — and for teams that want everything, our enterprise tier hands over the entire stack under a perpetual license to self-host in your own VPC. We'd rather show you exactly where the line is than wave "open source" around.
160+ agent templates, and the platform already runs for 1.6M+ users across 400+ organizations.
And for builders: you can drive the entire platform straight from your AI coding agent. Run "npx skills add iblai/api" and you get 30+ agent skills mapped 1:1 to our REST API — spin up and configure agents, train datasets, manage users and RBAC, pull analytics — plus a hosted chat MCP server (iblai-agent-chat) to talk to deployed agents, tool use and RAG included. Works in Claude Code, Cursor, and Copilot — point your agent at the repo and it knows the whole API. → github.com/iblai/api
⭐ github.com/iblai/os → ibl.ai/os
What's the first agent you'd spin up — a tutor, an internal help desk, something else? Genuinely keen for the feedback. 🙏
Being able to swap between GPT, Claude, and Llama without rebuilding anything is genuinely refreshing, and the open-source angle makes it feel like mine to actually experiment with.
About Agentic Operating System on Product Hunt
“Open-source AI agent platform — own it, run any model”
Agentic Operating System was submitted on Product Hunt and earned 12 upvotes and 2 comments, placing #45 on the daily leaderboard. ibl.ai OS is the open-source platform for building AI agents you own and self-host — your infrastructure, your data, your choice of model. Go from prototype to production in minutes: • RAG training + web-search grounding • Real-time voice (WebRTC), canvas & artifacts • MCP, multi-tenancy, SSO, RBAC • Web, desktop & mobile apps — MIT licensed • LLM-agnostic: GPT, Claude, Gemini, Llama • Drive it all from Claude via agent skills: github.com/iblai/api Fork it. Self-host it. Own it.
Agentic Operating System was featured in Android (57.3k followers), Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 260.9k products, making this a competitive space to launch in.
Who hunted Agentic Operating System?
Agentic Operating System was hunted by Miguel Amigot. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Agentic Operating System stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Miguel Amigot
Hey hunters 👋 Miguel here — ibl.ai, family-owned out of NYC.
We kept hearing the same thing from universities, enterprises, and government teams: they loved what AI agents could do but hated renting them — $20–60 per seat, locked to one vendor's model, their data living on someone else's cloud. So we built the opposite and open-sourced it.
ibl.ai OS lets you build, deploy, and manage AI agents from prototype to production in minutes — RAG/document training, real-time voice (WebRTC), web-search grounding, canvas & artifacts, MCP integration, multi-tenancy, SSO, and RBAC — shipping as web, desktop, and mobile apps. Run any model (GPT, Claude, Gemini, Llama) and switch anytime.
Straight talk on the "open" part, since someone will ask: the repo is MIT and it's the full agent platform — the client and the apps. Fork it, white-label it, build on it. The backend (model routing, auth, data services) is what we run as a managed service so you can be live in minutes — and for teams that want everything, our enterprise tier hands over the entire stack under a perpetual license to self-host in your own VPC. We'd rather show you exactly where the line is than wave "open source" around.
160+ agent templates, and the platform already runs for 1.6M+ users across 400+ organizations.
And for builders: you can drive the entire platform straight from your AI coding agent. Run "npx skills add iblai/api" and you get 30+ agent skills mapped 1:1 to our REST API — spin up and configure agents, train datasets, manage users and RBAC, pull analytics — plus a hosted chat MCP server (iblai-agent-chat) to talk to deployed agents, tool use and RAG included. Works in Claude Code, Cursor, and Copilot — point your agent at the repo and it knows the whole API. → github.com/iblai/api
⭐ github.com/iblai/os → ibl.ai/os
What's the first agent you'd spin up — a tutor, an internal help desk, something else? Genuinely keen for the feedback. 🙏