Why does MEMO want to be the “universal language” for agents?
Over the past year, we have witnessed an exponential explosion in the number of AI agents. From assisted programming to automated trading, from social bots to content generation, it seems that every vertical field has its own “super employee”.
But beneath this facade of prosperity, as builders of the infrastructure, we see a growing concern: due to the lack of a universal underlying language, these highly anticipated intelligent agents are being confined to countless private protocols that are not interconnected.
MEMO’s decision to enter the Agent protocol layer at this juncture is not to chase trends, but to resolve the core contradiction that hinders the industry from transitioning from “toys” to “economic entities.”
I. Observation: The “Chimney Effect” Behind Prosperity
The market in 2025 and 2026 will not lack smart agents.
Major frameworks (such as LangChain, AutoGPT, BabyAGI, etc.) and countless independent projects are vying to demonstrate the reasoning capabilities of their agents. However, this competition has led to a classic “chimney effect” :
An agent under framework A cannot recognize task instructions under framework B;
Agents skilled in data analysis cannot be directly “hired” by agents skilled in generating graphics and text.
Agents based on on-chain assets cannot conduct trusted value exchanges with traditional Web2 API agents.
Each agent operates on its own isolated island. They may possess extremely high individual intelligence, but they are “deaf and dumb” when it comes to collaboration.
If agents can only operate within a confined, walled garden, then the so-called “Autonomous World” will forever remain an impractical concept. What the industry currently lacks is not more powerful models, but a common language that allows these models to connect, collaborate, and work together.
II. Core Logic: The Inevitable Choice from “Storage” to “Connectivity”
Why MEMO? Why would a project that started with decentralized storage get involved in agent protocols?
This is not a crossover, but an inevitable result of the evolution of technological logic.
The essence of an Agent is “logic that runs with memory (data)”.
The biggest difference between a mature agent and a traditional script lies in its “state” and “memory.” It needs to remember user preferences, past interaction history, and its own strategy model. In the context of Web3, the ownership of this data determines the agent’s agency.
MEMO’s Data DID, which it has been deeply involved in over the past few years, essentially solves the “accounting” problem of agents:
Through Data DID, the Agent has an identity independent of the centralized server;
Through the MEMO’s storage layer, the Agent possesses portable, tamper-proof memories.
Now that we have solved the problems of “who is running it” and “where is the memory located”, the next step is to solve the problem of “how to collaborate”.
When an agent possesses an independent identity and memory, it has the prerequisite to participate in the social division of labor. MEMO extends from the storage layer to the agent protocol layer precisely to pave a path for these agents with independent identities to communicate with each other.
III. What problem does it solve: Defining a “metric for collaboration”
Working on the protocol layer is a tedious task. It lacks the glamour and excitement of the application layer, and doesn’t offer the immediate gratification of interacting with users. However, it’s crucial to the operational efficiency of the entire ecosystem.
MEMO’s Agent protocol layer doesn’t talk about disruption; it only does three concrete things:
1. Cross-frame simultaneous interpreting
Current agent interactions are fraught with friction. The idea behind the MEMO protocol is to establish a standardized interface description language.
Regardless of the framework on which you develop your Agent, as long as it connects to the MEMO protocol, your task requirements (Input) and capability provision (Output) will be translated into a universal standard format. This makes it possible for “Customer Service Agent of Project A” to directly call “Payment Agent of Project B” without the need to manually write complex adaptation code.
2. Automated “Value Confirmation”
In human business collaborations, contracts establish delivery standards. A similar mechanism is needed in machine collaborations.
The MEMO protocol provides native settlement capabilities for agent interactions through smart contracts.
When Agent A sends a request to Agent B, the protocol layer automatically locks the funds;
Once Agent B completes the task and submits verifiable proof, the protocol layer automatically releases the funds.
This mechanism transforms interactions between agents from a mere flow of information into a flow of value. It defines the “metric” for machine collaboration and resolves issues related to micropayments and trust friction.
3. Seamless infrastructure access
The best infrastructure should be “invisible”.
Just as we are unaware of the TCP/IP protocol when browsing the web, MEMO aims to allow developers to use this protocol as naturally as breathing when building agents. Developers only need to focus on the core logic of the agent (Prompt and model), while the tedious tasks such as finding partners, authentication, and fund settlement are all handled by the MEMO protocol layer.
IV. Differentiated Positioning: Building Infrastructure Without Competing
In this bustling market, many projects are vying for “whose agent is smarter” and “whose UI is cooler”.
MEMO has chosen not to participate in this competition.
Our positioning is very clear: while others are building cars, MEMO is building roads and setting traffic rules.
The application layer (APP) is responsible for creating various types of agents to meet users’ specific needs in scenarios such as gaming, finance, and social networking. Their mission is to “solve specific problems”.
The Protocol Layer (MEMO) is responsible for providing standardized communication, identity, and settlement services. Our mission is to “reduce collaboration costs.”
We are not trying to create an all-powerful super agent to monopolize the market. On the contrary, we hope that all agents on the market can become more powerful by accessing the MEMO protocol.
MEMO’s success depends not on how many agents we release ourselves, but on how many external agents are interacting and settling frequently through our protocol.
V. Conclusion: The Power of Returning to Reality
By 2026, the Web3 x AI narrative had shed its early hype. The market began to reward architectures that could deliver real performance.
A universal protocol is not something that can be achieved by shouting slogans in a white paper, but rather by being developed through countless cross-protocol calls and on-chain settlements.
MEMO is building a “universal language” so that the future intelligent agent economy will no longer be fragmented islands, but a thriving network composed of billions of agents that are highly specialized and operate automatically.
In this network, data is the asset, computing power is the fuel, and what the MEMO protocol does is to create that invisible but crucial connection.