Ensue Emerges: The First Shared Memory Layer for AI Agents

On August 21st, 2025, Ensue emerged as the industry’s first ever shared memory layer for AI agent swarms. 

“Instead of one siloed, stateless agent or LLM, imagine a world where you have access to the shared memory of millions - all connected through a single, cohesive system”, reads a release shared with BSCN ahead of time.

In short, Ensue and its mission is a reflection of the maxim that ‘the whole is greater than the sum of its parts’. According to a summary shared with BSCN, Ensue’s primary product is currently in alpha-stage. Developers interested in gaining early access can sign up using the form here.

What is Ensue?

As AI agents are developed and used, they accrue invaluable swathes of data and information, which can be put to use in improving AI agents and their functionality in the future. Ensue is a distributed protocol serving as a marketplace for this very shared memory of AI agents.

Previously, this useful information has been siloed and ringfenced, limiting the progression of AI agents and their capabilities throughout the industry - Ensue is going to change this.

With Ensue, memory will become portable (and thereby monetizable) across different tools, agents and AI models. It is in this respect that the universe of AI agents leveraging Ensue will become greater than the sum of the individual agents and models themselves.

Developers building AI agents and models will at last have access to a rich pool of ‘memory streams’, stemming from other builders and their agents.

Over time, and as adoption of Ensue grows, the result should be an AI agent sector that is more capable than ever before. Moreover, it should be one that progresses and improves faster than was previously possible in the age of ‘siloed’ memory.

Ensue’s Potential Impact

Ensue’s release, shared with BSCN ahead of time, highlights several vectors through which the project aims to improve the agent-building process…

Firstly, Ensue will allow AI developers to build AI systems that are altogether more potent and capable, to an extent that only collective intelligence can allow. It will allow multi-agent coordination to scale in a way not previously possible.

Secondly, AI use cases will become altogether more dynamic. AI systems built using Ensue’s tooling will make use of ‘dynamic workflows’ able to reason and produce results through Ensue’s shared memory layer.

What’s more, Ensue will allow developers to port context across tools. In crypto terms, AI systems will become more interoperable: “Pick up a conversation in Claude Code that started in ChatGPT or Gemini. Or pass context from an n8n workflow into another custom agent.”

An Important Note

Ensue’s official release also highlights the controls that will be implemented around which information agents are able to access. It clarifies that Ensue’s ‘agent permissions’ allow builders to give agents the precise information that they require “and nothing more”.

Final Thoughts - What Next?

Having only just emerged from an effective state of stealth, much lies ahead for Ensue, its team, and its future community. In particular, questions remain around full-rollout timelines for Ensue’s shared memory layer, as well as further details about the product itself.

However, for now, the potential impact of Ensue’s novel protocol, as well as its elegant structure and mission, are exciting enough to get the CryptoAI ecosystem talking…