Overview
- Run AI agents as durable processes that survive system restarts, using Rivet's persistent process framework for uninterrupted agent orchestration
- Execute untrusted agent code safely inside agentOS, the isolated per-agent computer with secure code execution and file system access
- Prevent agent collisions with complete environment isolation, so each autonomous agent operates on its own dedicated agentOS instance without interference
- Trace every agent decision through session transcripts that record actions for audits, troubleshooting, and systemic improvement
- Build multi-step agent workflows that keep running after crashes or restarts, delivering reliable automation without manual recovery
- Ship agent-created backends as dynamic applications, turning agent output directly into deployable production services
- Monitor agent behavior in real time with full observability of agent actions, connection events, and application logs for fast debugging
- Plug Rivet into your existing backend infrastructure without rearchitecting, since it runs within current technologies and platforms
- Store agent state on your terms with Postgres or FoundationDB persistence options for flexible data storage
- Select only the Rivet stack layers you need, composing agent orchestration, agentOS, workflows, and deployment features to fit your build
Pros & Cons
Pros
- Agentic Era infrastructure
- Operate agents environment
- Automates agent work
- Employs agentOS
- Secure code execution
- Provides isolation
- Session transcripts availability
- Supports multi-step operations
- Deploy Dynamic Applications
- Compatibility with existing technologies
- Runs within existing backend
- Provides option for Postgres
- FoundationDB for storage
- Agent action observability
- Effective outcome monitoring
- Agent process durability
- Real-time & streaming
- Memory feature for agents
- Durable workflows
- Can work with React
- Supports Next.js
- Works with Svelte
- Supports Hono
- Can utilize Express
- Supports Elysia
- Co-operates with tRPC
- Works with Node.js
- Runs on Bun
- Supports Deno
- Supports Vitest
- Can utilize Pino
- Supports OpenAPI
- Supports AsyncAPI
- Works with Flue
- Interface with Vercel
- Supports Eve
- Supports Workflow SDK
- Run on AWS
- Suitable for Kubernetes
- Works in GCP VM
- Operational in Cloudflare
- Suited for Supabase
- Compatible with Railway
- Runs on Custom+ platforms
- Single Rust binary
- Local development matches production
- Complete observability
- SQLite Viewer
- Workflow State Inspection
- Event Monitoring
- REPL Debug Support
- Open-source Control Plane
Cons
- Limited to agentOS
- Limited to Postgres and FoundationDB
- Possibly complex multi-step workflows
- Complex setup and onboarding
- Lack knowledge on security measures
- Dependency on existing backend infrastructure
- Not specifically designed for non-technical users
- Lack of support for other languages
- Confined to its own stack
- Limited observability tools
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❓ Frequently Asked Questions
Rivet is an artificial intelligence tool essentially built for the 'Agentic Era'. It is designed for the orchestration and operation of agents within their environment, as well as for automating their work and deploying what they produce. Every agent enabled by Rivet has a durable process in which to live and perform tasks. Rivet provides each agent with its own computer known as 'agentOS', facilitating secure code execution, a file system, isolation, and session transcripts. It enables the construction of multi-step operations, or workflows, that continue to operate even after system restarts. Significantly, it can deploy dynamic applications, essentially the backends created by agents. It offers a selection of feature sets mapping to different layers of the Rivet stack, compatibility with existing technologies and platforms, flexible database options, and complete observability of agent actions for effective monitoring.
Yes, Rivet is fully compatible with existing technologies and platforms. It can comfortably run within an existing backend infrastructure.
In Rivet, the role of agentOS is to provide each agent with its own computer. It facilitates secure code execution, a file system, isolation, and session transcripts, giving agents everything they need in an isolated and secure environment to perform their tasks.
Rivet handles secure code execution through agentOS, the unique computing system it furnishes for each agent. This isolated environment allows for the execution of code securely.
Rivet is flexible with respect to database systems. Users have the option of utilizing either Postgres or FoundationDB for persistence and storage needs. This exhibits Rivet's flexible nature in meeting the data storage requirements of different applications.
Rivet automates workflows by facilitating the writing of multi-step operations. These operations are designed to be durable, in the sense that they continue to function even after system restarts.
The 'Agentic Era' refers to a proposed period in technological development where systems are designed for the orchestration and operation of agents—autonomous entities that are able to perform tasks and make decisions within their environment. Rivet is built for this era, enabling every agent to have a durable process to live in and perform its tasks.
Yes, Rivet has the ability to deploy dynamic applications. Dynamic applications are essentially the backends created by agents. It's a significant feature of Rivet that contributes to the automate work aspect of its functionality.
Rivet contributes to the effective monitoring of agents by providing complete observability of agent actions and their outcomes. This feature allows users to effectively monitor and understand the behavior and performance of their agents.
When Rivet enables every agent to have a durable process, it means that each agent has a stable, long-lasting framework or environment in which to live and perform its tasks. This process continues to function, allowing for consistent operation of tasks, even in the event of system restarts.
Rivet orchestrates and operates agents within their environment by providing each agent with a durable process and its own computer, known as agentOS. This computer allows secure code execution, a file system, isolation, and session transcripts, providing everything the agent needs to perform tasks in a secure and isolated environment. It also enables the creation of multi-step operations or workflows that remain functional even after system restarts.
Yes, Rivet is compatible with FoundationDB. Users can choose to use FoundationDB for their persistence and storage needs within the Rivet platform.
Rivet helps with session transcripts through its agentOS system. Each agent's computer maintains session transcripts, documenting their activities and ensuring a record of their operations. This facilitates audits, troubleshooting, and systemic improvement.
Yes, the workflows facilitated by Rivet are designed to be durable, meaning they continue to function even after system restarts. This provides consistency and reliability for the operations of the agents.
Yes, Rivet provides storage options. Users can choose to use either Postgres or FoundationDB for their persistence and storage needs.
Rivet boasts compatibility with a range of existing technologies without naming specific ones on their website. However, given its flexibility, it is reasonable to infer that it can integrate with most mainstream and widely-used technologies.
While Rivet does not specify all the platforms it can be run within on their website, it mentions compatibility with existing technologies and backend infrastructures. This would suggest it can be deployed in versatile environments, including popular cloud platforms and in-house servers.
The complete observability of agent actions in Rivet entails the ability to fully monitor and understand the behavior and performance of agents. Users can observe and track agent actions, connection events, and application logs, enabling real-time monitoring and debugging.
Agent isolation in Rivet is handled by providing each agent its own computer, known as agentOS. This provision secures the agent's environment, making sure the tasks they perform are distinct and do not interfere with other agents.
Yes, you can use Postgres for persistence and storage needs with Rivet. Both Postgres and FoundationDB are highlighted as compatible and recommended database systems.
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