Autonomous Agents: Not Just Your Average Computing Solutions

Unpacking the unique advantages of autonomous agents in decentralized networks.
2023-11-033 min

Navigating the tech landscape, you might stumble upon the term AI Agents or AI agents - and think, 'Aren't these just like cloud functions such as AWS Lambda or Azure Functions? Can't I achieve the same through microservices and third-party AI interfaces?'

But here's the thing - AI agents are not just another buzzword or a simple cloud function. These entities have distinguishing characteristics that set them apart from ordinary cloud-based offerings. Let's dive into the unique features that make AI Agents - and in particular -'s AI agents stand out: self-governance, enduring memory, direct communication among agents, inherent blockchain compatibility, and integrated AI capabilities!

Self-Governance: AI Agents Do More than Just Respond

In environments like AWS Lambda or Azure Functions, services are event-driven. They wait for certain events, such as a button click, to execute specific actions. However AI Agents have a level of self-governance, taking actions based on internal conditions and logic. For instance, a smart agent responsible for network safety can independently conduct security scans at random intervals, making it more difficult for intruders to predict and circumvent these checks. This proactivity is generally absent in conventional cloud services.

Enduring Memory: AI Agents Learn Over Time

Unlike traditional cloud functions, which are stateless and don't retain information between runs, AI Agents have enduring memory. They maintain a consistent internal state across tasks, enabling them to learn from previous actions and optimize future decisions. Imagine a digital assistant that becomes more efficient the more you use it - that's what a smart agent can offer.

Direct Agent Communication: A Network of Equals

While cloud services can interact with each other, AI Agents, particularly's agents elevate this with peer-to-peer communication. Instead of relying solely on a centralized data hub, they can converse and collaborate directly. This design adds a level of robustness and efficiency to the system, creating more adaptable and resilient operations.

Blockchain: A Record You Can Trust

While traditional databases offer some level of trustworthiness, they can't match what's possible with blockchain. Actions taken by's agents can be immutably recorded, providing an audit trail that is both transparent and secure. It's not just about recording actions, it's about doing so in a way that is invulnerable to tampering.

Built-In AI: Beyond API Calls

Sure, you can utilize AI through APIs in any cloud service, but AI Agents often have built-in AI functionalities. This offers a more seamless operation and can even reduce latency. Think of it as having a multi-tool custom-built for your specific needs.

Resource Efficiency: A Smarter Way to Operate

Despite their array of capabilities, AI Agents can often function with less overhead than piecing together equivalent functionalities using separate services. This can lead to both cost and operational advantages.

To Conclude

AI Agents are not just an additional layer on existing tech stacks! They bring a unique set of capabilities---self-governance, enduring memory, direct agent communication, built-in blockchain, and native AI functionalities---that set them apart from traditional cloud services and standalone AI interfaces.

Here's the best part: you can do all of this today with You can get started with our documentation, or sign in to Agentverse to access our quick start example agents.

More from Fetch