Build on an AI platform you own
ibl.ai is open source from the application layer to the infrastructure. Read the code, scaffold an app, drive the whole system through skills and an MCP server, deploy agents, and run it on your own cloud.
Not an API you rent — a full platform you keep. What you build is yours.
$ npx skills add iblai/vibe$ npx skills add iblai/apiFive repositories, one platform you own
Most AI vendors give you an endpoint. ibl.ai gives you the entire stack as source you can read, fork, run, and extend — from the app your users touch down to the infrastructure it runs on.
The open-source platform itself. Create and deploy customizable AI agents with multi-LLM support, real-time chat and voice, document training, analytics, user management, SSO, and embeddable widgets. Built on React 19.
Vibe-code AI apps on ibl.ai. Scaffold a production-ready Next.js app with the iblai-app-cli and the @iblai/iblai-js SDK — SSO auth, AI chat, profiles, notifications, and analytics wired up against a hosted backend. Ships pre-built components and Claude Code skills.
$ npx skills add iblai/vibeAgent skills plus a chat MCP server to operate the entire platform through its REST API. Point Claude Code — or any MCP client — at it and your agent can create agents, manage users, and run workflows directly.
$ npx skills add iblai/apiReady-to-deploy agent templates (NVIDIA NemoClaw + OpenClaw) across regulated sectors — healthcare, government, legal, financial services, education, and more. Run them on your ibl.ai instance or anywhere else.
An interactive CLI that provisions the whole platform on your own AWS account with Terraform and configures servers with Ansible — and it can bootstrap any existing server. You own the infrastructure.
A REST API for everything — and an MCP server to drive it
Every capability of the platform is a documented REST endpoint: agents, chat, users, analytics, documents, and credentials. Build integrations against it directly, or let an AI agent operate it for you through the Model Context Protocol.
Interactive API reference
Browse the full endpoint catalog with per-endpoint curl examples — generated from the live OpenAPI schema.
Base: platform.iblai.app
Skills & MCP server
Install the platform skills and your coding agent can run the whole system — create agents, manage users, trigger workflows — from Claude Code or any MCP client.
$ npx skills add iblai/apiStart from 160+ agent templates
The claws library ships ready-to-deploy agents — built on NVIDIA NemoClaw and OpenClaw — organized by sector. Clone one, point it at your data and models, and run it on your ibl.ai instance or anywhere else.
Own what you build
Rented AI is a cost that recurs forever and leaves nothing behind. An owned platform is an asset: the code, the data, and the infrastructure are yours, and they keep their value after the contract ends.
Rented AI
- Per-seat or per-token billing that scales with headcount
- Locked to one vendor's models and roadmap
- Your data lives in someone else's cloud
- Credits evaporate when the subscription lapses
ibl.ai — owned
- Full source under a perpetual license
- Model-agnostic — run any LLM, switch anytime
- Code, data, and infra stay in your environment
- Usage-based, never per-seat — yours to keep
ibl.ai serves 1.6M+ users from 400+ organizations and is family-owned and operated from New York, NY. Explore the self-hosted platform or the full-code license.
Clone a repo and run it today
Everything on this page is public. Start with the source, scaffold an app, or talk to us about deploying the whole platform on infrastructure you own.