OpenAI

OpenAI has released another big surprise! Instant, the star startup from the YC S22 batch, has just announced that its entire team is officially joining OpenAI. 0, and its cloud hosting service will continue to run until August 31. Tens of thousands of customers are regretfully saying goodbye to this platform. For OpenAI, however, the strategic intent of this acquisition is completely clear: to supplement the memory layer for AI agents. This acquisition seems sudden, but the groundwork was laid two years ago. 4 million US dollars. The investor portfolio is extraordinarily renowned and includes many well-known names: Investors include Y Combinator and SV Angel, as well as numerous prominent angel investors, such as former Firebase CEO James Tamplin, YC co-founder and former president of the "Silicon Valley educational institution" Paul Graham, OpenAI co-founder and president Greg Brockman, and former Google chief scientist Jeff Dean.

At that time, the whole world was still celebrating every small update of the GPT-4 version, while Greg Brockman, co-founder of OpenAI, was already betting on AI infrastructure. To understand why OpenAI is so interested in Instant, we first need to clarify what Instant actually does. In summary: Instant is the ultimate tool for building the backend infrastructure for AI agents – database, permission checking, real-time synchronization, offline cache, all from a single source. In the tough developer community, it has been given a catchier and more direct name: "Firebase in the AI age."

Back then, Google bought Firebase and thereby directly monopolized the backend of countless mobile apps, allowing frontend developers to handle complex database read and write operations and real-time synchronization with just a few lines of code. Today, Instant does exactly the same thing in the AI age, only this time the main user is no longer "human users" but "AI agents." 5 billion transactions have been processed in total. This is an industrial-grade infrastructure that has been repeatedly tested in production environments with high concurrency and high load.

OpenAI itself has the world's most intelligent AI models – can't they just write a database? Why do they have to buy Instant expensively? Here lies the current fatal pain point in the development of AI agents: managing persistent state and real-time data consistency. Simply put: today's AI suffers from severe "memory weakness" and "concurrency syndrome." Currently, the capability boundaries of AI agents are rapidly expanding outwards at an incredible speed. They take over your calendar and automatically coordinate meeting times with dozens of partners.

They even automatically read issues on GitHub, write code themselves, submit pull requests themselves, and fix bugs themselves. Platforms like EinsteinArena enable multiple agents to collaborate and compete on public question sets. By mid-2026, agents have achieved at least 12 SOTA results superior to humans or previous AI systems, for example, the lower bound of the 11-dimensional kissing number was raised from 593 to 604. But when developers bring agents into production, they encounter a data wall. An example: Your agent is supposed to book a meeting at 3 PM, your boss's agent adds another appointment, and you yourself simultaneously change the 3 PM entry to "break."

Three operations, the same dataset, the same millisecond. The backend cannot withstand this, the system crashes directly, or the data gets corrupted and all appointments are destroyed. Even the highest intelligence of large models cannot resolve read and write conflicts in the underlying data. This is a purely technical engineering problem. An agent that can truly run smoothly in the real world must have strong capabilities for "memory" and "multithreaded collaboration." , CRDT algorithms) at the moment the network connection is restored. These are precisely the difficult and demanding tasks that the Instant team has fully focused on over the past 4 years.

They have packaged these very complex backend challenges like real-time synchronization, conflict resolution, and offline-first into an instantly usable SDK. Now, any developer can ensure that their AI agents have an unwavering persistent memory and real-time collaboration capabilities with just a few lines of code. For OpenAI, this means supplementing the most important "Memory Layer" and "State Layer" for agents. Both Codex for code processing and various native agents of the GPT series and future "long-horizon AI workflows" that run autonomously without interruption require a rock-solid, reliable backend to store their states.

By acquiring Instant, OpenAI has acquired the last puzzle piece that leads agents to fully automated operation. The story of Instant began in 2021. According to the officially published farewell letter, the founding team shared the idea of "running a database in the browser" in a blog post in 2021. The two core founders of Instant, Joe Averbukh and Stepan Parunashvili, were both senior engineers / director engineers at Facebook and Airbnb. During their time at Facebook, they themselves experienced how a "graph-based database" with support for complex permission expressions enabled thousands of developers to maintain an astonishingly high development speed in extremely complex systems.

"Why can't this experience be made available to developers all over the world?"