Talk Around Town: A Chinese Startup Claims to Have Built a Dedicated AI Agent Storage Network

What the Chatter Is About

Well, butter my biscuit — a Chinese outfit called Chongao Technology has put out word, by way of a 36Kr-distributed announcement, that it has built what the company describes as an 'Intelligent Agent Interaction System Storage Network.' According to that announcement, the company says the platform is designed to handle the specialized data storage demands that come along with AI agents, and Chongao claims it is actively seeking cooperation partners among cloud providers and AI agent businesses. That is the whole of what we know from the company's own mouth.

Now, 36Kr is a real and respected Chinese tech outlet, but the item in question reads like it rolled straight off a company newswire rather than out of a reporter's notebook. No separate journalist, no independent analyst, and no rival publication has so far shown up to kick the tires on what Chongao says it built. In these parts, one rooster crowing does not make a sunrise.

What Is Actually Known and Confirmed

Strip away the Chongao-specific chatter and you are left with a pile of independently confirmed facts showing that AI agent storage is about as real a market need as a leaky roof in a thunderstorm. According to the 2025 Stack Overflow Developer Survey, cited by Redis, 43% of developers who are actively building AI agents reach for Redis when they need memory and data storage solutions, putting it at the top of the heap for that use case.

On the Chinese side of the fence, Tencent Cloud made its own confirmed move: at the Chongqing City Summit on April 28, 2026, the company officially launched what it calls Agent Storage, an AI-native storage platform built around a core unit it describes as an 'Agent Bucket.' According to Baidu Baike, the idea is to give each individual AI agent its own isolated, dedicated storage space — like handing every hound dog his own food bowl instead of letting them all fight over one trough.

The technical shape of the problem is also well-documented. An industry infrastructure analysis published on Medium describes what it calls the dominant production approach: engineering teams are combining vector databases for semantic retrieval, graph databases to track relationships between entities, and relational databases to maintain persistent state — a hybrid stack that one analyst compares to a well-stocked toolshed rather than a single Swiss Army knife.

Mem0, which raised a $24 million Series A in October 2025 and was tapped as AWS's exclusive memory provider according to Mem0's own reporting, describes the AI agent memory ecosystem as of 2026 as covering 21 frameworks, 20 vector stores, and three distinct hosting models: managed cloud, open-source self-hosted, and local MCP deployments. That is a market that has matured considerably faster than a pulled-pork shoulder on a Saturday morning.

What Nobody Has Verified

Everything Chongao Technology claims about its own platform — what it can do, who is using it, how it differs from existing options, and whether any cloud or AI agent partners have actually signed on — remains unverified by any source other than Chongao itself via 36Kr. The company's stated goal of cloud-and-AI-industry cooperation sounds fine as a press-release aspiration, but aspirations and accomplished facts live on different streets.

It is also worth noting that the market Chongao says it is entering is not exactly a wide-open pasture. Redis, Pinecone, Letta, and Mem0 are well-funded Western players already operating in production environments, and Tencent Cloud has planted its flag on the Chinese side with Agent Storage. What specific technical or commercial advantage Chongao claims to bring to this pen full of bigger hogs has not been explained in any independently reviewed detail.

The Risk Sitting in the Corner of the Barn

Even if you set Chongao aside entirely, the AI agent infrastructure space carries a risk worth flagging. One industry analysis from Introl, citing a Gartner prediction, holds that roughly 40% of AI agent projects may be abandoned before 2027 because the infrastructure bills spiral out of control, with agentic deployments reportedly consuming tokens at 20 to 30 times the rate of ordinary generative AI workloads. Introl's analysis notes Gartner as the source of that prediction, though this publication did not access the underlying Gartner report directly.

That tension — a rapidly growing market running smack into serious cost pressure — means demand and viability risk are dancing with each other at the same hoedown. An analyst writing for Medium points out that the infrastructure build-out is accelerating hard, with new provisioning demands appearing faster than teams can budget for them. Anyone pitching a new storage network into this environment is selling into both opportunity and headwind.

Analysis: A Crowded Barnyard With One Unverified New Rooster

This is analysis, not reporting. Chongao Technology's announcement, taken at face value, describes a company trying to carve out dedicated infrastructure turf in a segment that major players on both sides of the Pacific have already claimed. The self-reported nature of the announcement makes it impossible to evaluate the technical merits of what the company says it built or whether the market needs another entrant.

What the confirmed evidence does suggest is that the underlying category is real, the engineering challenges are well-understood, and the established competition is substantial. A small company walking into this market without independently verified differentiation is a bit like showing up to a catfish fry with a store-bought frozen filet — you are welcome at the table, but you had better explain yourself pretty quick.

The practical question for anyone paying attention is whether Chongao Technology's approach offers something meaningfully different from Tencent Cloud's Agent Storage, Mem0's hybrid datastore model, or Redis's dominance in the developer survey data. On the current evidence — which is to say, the company's own word and nothing more — that question has no answerable form yet.