A free, Apache-2.0 TypeScript toolkit for calling models and streaming them into a UI, or an owned platform that supplies the agents, memory, data and governance behind that UI
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
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The Vercel AI SDK is Apache-2.0 and free, so you already own the toolkit code. With ibl.ai you own all the code and the data for the layer underneath it as well: the agents, memories, datasets, evals and audit logs your UI talks to.
These two overlap less than the names suggest. The AI SDK is a provider-agnostic TypeScript library: one API over many model providers, streaming hooks such as useChat for React, Svelte and Vue, and a ToolLoopAgent for tool-calling loops.
What it deliberately leaves to you is state: who the user is, what the agent remembers, which documents it may retrieve, how it is evaluated and who may change it. Vercel's AI Gateway routes tokens at list price with no markup, but it is a hosted service.
ibl.ai supplies that state on infrastructure you control. It is model-agnostic, has no per-seat pricing, and deploys anywhere: your cloud, a VPC, on-premise or air-gapped. ibl.ai is family-owned and operated from New York, NY.
by ibl.ai
Owned agentic AI platformby Vercel (open source, Apache 2.0)
TypeScript AI toolkit| Criteria | ibl.ai | Vercel AI SDK |
|---|---|---|
| Source code you receive | Platform source under license; the OS frontend and the vibe skills are MIT on GitHub. | Apache-2.0 on GitHub (27.4K stars, October 2026), free to use and modify. |
| Where the backend runs | Your AWS or GCP account via infra-cli, any existing server, or air-gapped. | Anywhere Node runs — the SDK is a library. AI Gateway, if you use it, is Vercel-hosted. |
| Where state and data live | Conversations, memories, datasets and traces in the database you operate. | Wherever you build it — the SDK stores nothing, so persistence is your design. |
| Pricing shape | Usage-based with no per-seat pricing, against caps you set. | SDK free; AI Gateway charges provider list price with no markup, including bring-your-own-key. |
| Criteria | ibl.ai | Vercel AI SDK |
|---|---|---|
| Streaming UI primitives | A drop-in Chat component with streaming, canvas, files and voice, rendered in-process. | The reference implementation: useChat and generative UI hooks across Next.js, React, Svelte and Vue. |
| Provider breadth in code | Provider cards include Amazon, Anthropic, Google, Microsoft, NVIDIA, OpenAI and xAI. | First-party packages for OpenAI, Anthropic, Google, Mistral, Cohere, Groq, xAI and more, plus any OpenAI-compatible server. |
| Bring-your-own UI freedom | Use the SDK components, or call the REST API, SSE or WebSocket from any UI. | Unopinionated by design — every pixel is yours. |
| Criteria | ibl.ai | Vercel AI SDK |
|---|---|---|
| Agent memory | Global and agent-specific memories in PGVector, five default categories, REST API. | Not included; you choose and wire a store. |
| RAG over your documents | Datasets from files, URLs, crawls, Drive, OneDrive and GitHub on a retrain schedule. | Embedding helpers are included; ingestion, vector store and re-indexing are yours. |
| Evals, RBAC & audit | LLM-as-Judge benchmarks, roles and policies, SSO, SCIM and per-agent audit logs. | Out of scope for a UI and model toolkit. |
ibl.ai is the backend: agents, memory, data, evaluation and governance, deployed on your infrastructure and reachable over REST, SSE, WebSocket and MCP.
The AI SDK is the client-and-server toolkit for calling models and streaming results into an interface, with no persistence of its own.
Mostly they stack rather than compete. The real choice is whether you build the backend state layer yourself or run one you own.
ibl.ai's Chat component is complete but opinionated, and its provider list is curated per organization rather than a package per vendor.
The AI SDK is the best-in-class TypeScript toolkit here: useChat, typed tool calls, structured output and first-party packages for a long list of providers.
The AI SDK wins on interface primitives and provider breadth in code. Keep it for the UI if your team already uses it.
With ibl.ai, memory, document ingestion, evals, access control, spend caps and audit come with the platform and work across every configured model.
With the AI SDK alone, each of those is a service you design, host and secure — often the larger share of a production AI feature.
Count the state layer, not the hooks. That is where the engineering time and the compliance exposure live.
If the feature is stateless or your app already stores what it needs, the AI SDK is the lightest correct tool.
Shared memory, datasets, evals, RBAC and audit across every agent are what a toolkit leaves out and a platform provides.
The whole backend installs inside your perimeter, so no hosted gateway sits in the data path.
Keep the AI SDK in the UI and put ibl.ai behind it. ibl.ai's own hosting API deploys apps to Vercel, so the two already meet.
Timeline: One to four weeks, depending on how much state your app already stores
Timeline: Days for the UI, weeks for the state layer
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.
ibl.ai is the state layer an AI SDK app eventually needs: agents, memory, datasets, evaluation, RBAC and audit, deployed on infrastructure you control and reachable from any TypeScript frontend. Agentic OS is the platform; Agentic Vibe gives coding agents 157 skills, including a Next.js scaffold and a drop-in Chat component. You own all the code and the data and can keep the AI SDK in the UI where it is strongest.
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
Every statement this page makes about Vercel AI SDK was checked against the primary source below as of 2026-10-20. If something has changed, tell us and we will correct it.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.