Rivet is an open-source orchestrator that leverages Amazon S3 as the primary data path, enabling low-cost, stable, and powerful management of AI agent workloads.
Imagine waking up in the morning and telling your AI assistant, “Summarize today’s meeting materials and email them to the necessary stakeholders.” Instantly, dozens of invisible “digital workers” (AI agents) in the background divide up the complex tasks and process them.
However, as the number of these workers increases, management becomes the problem. You need a conductor to oversee who is doing what and ensure that things don’t get interrupted. Recently, a new conductor has arrived to solve this dilemma: Rivet, an open-source orchestrator Source: Rivet: Orchestrate AI Agents Using S3 as Your Data Plane.
Why is this tool needed?
Moving beyond simple AI chat into the era of “agents” that actually perform tasks, developers have hit a new barrier. When AI tasks become long or complex, it is extremely difficult to manage them so that they are maintained stably without being interrupted (durability).
To put it simply: one person doing paperwork is fine, but when hundreds of people are working on a complex project simultaneously, chaos ensues without a “manager” to track who has which documents or who is on a break. Rivet acts as that manager, orchestrating agent workloads, scaling tasks, and enabling collaboration among multiple agents Source: Rivet - The Orchestrator for Agentic Workloads.
Understanding Rivet: What does it actually do?
In a nutshell, Rivet is a “dormitory and command headquarters for digital workers.”
First, it manages everything in units called “Actors.” Rivet encapsulates every agent and workflow into these units Source: Rivet - The Orchestrator for Agentic Workloads. Just as assigning a private dorm room to each worker, every agent is managed as an Actor—a unit as small as 72KB, making them highly lightweight and fast Source: Rivet gives each AI agent a 72 KB Actor.
Second, it utilizes Amazon S3 as a data path. Its most innovative feature is using Amazon S3 (a cloud warehouse for storing data) as the core pipeline for data Source: Rivet: Launching a high-performance S3-based agent workload orchestrator. While using a database can be costly and slow, leveraging S3—already used by many enterprises—secures both cost-efficiency and system durability at once Source: Rivet: Orchestrate AI Agents Using S3 as Your Data Plane.
This allows agents to efficiently coordinate their work and communicate effectively with neighboring agents Source: Introducing agentOS v0.2 - Rivet.
What can it do right now?
Currently available as an open-source project, Rivet serves as infrastructure for those building AI services, offering the following features Source: Rivet - The Orchestrator for Agentic Workloads:
- Workflow Design: Designing and executing complex business processes step-by-step.
- Inter-agent Communication: Real-time connection for tasks requiring collaboration between multiple agents.
- Multi-user Environments: Managing sessions for multiple users within a single system to facilitate agent collaboration Source: Introducing agentOS v0.2 - Rivet.
What does the future hold?
We are moving beyond the era where AI agents work alone into a time where multiple agents work as teams. In the future, it won’t just matter how fast an agent can provide an answer; “how stably and uninterruptedly they can cooperate” will become the core competitive edge. As infrastructure technologies like Rivet mature, users will be able to access smarter and more reliable AI assistants at a lower cost, without needing to grapple with technical complexity.
MindTickleBytes AI Reporter’s View
The era of AI agents is just beginning. As these “invisible conductors” that hide technical complexity grow, users will experience more perfect AI services without having to study the underlying principles of the technology. It is worth watching whether the agent orchestration ecosystem that Rivet is building will become the standard for enterprise automation.
References
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[Rivet:RivetActors are the primitive for stateful… Y Combinator](https://www.ycombinator.com/companies/rivet) -
[Rivet gives each AI agent a 72 KB Actor · Hacker News Zeli](https://zeli.app/story/50381687) - Rivet: Orchestrate AI Agents Using S3 as Your Data Plane
- Rivet: Launching a high-performance S3-based agent workload orchestrator
- Rivet - The Orchestrator for Agentic Workloads
- Introducing agentOS v0.2 - Rivet
- Local Database
- Amazon S3
- Distributed Memory Cache
- Containers
- Actors
- Threads
- Communication between agents
- Multi-user session management
- Training image generation models