About This Site
Composable infrastructure for building, running, and deploying AI agents. Rivet is infrastructure for building, operating, automating, and deploying production-grade AI agents. Its composable stack includes Actors for durable processes, real-time communication, streaming, and memory; agentOS for secure code execution, filesystems, isolation, and session transcripts; Workflows for restart-safe multi-step operations; and Dynamic Apps for deploying applications created by agents. Rivet can run on Rivet Cloud, in a private VPC, on-premises, in air-gapped environments, or on custom infrastructure.
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Key Features AI
Core Features
Durable Actors for persistent agent processes, memory, real-time communication, and streaming
agentOS environments with secure code execution, filesystems, isolation, and session transcripts
Restart-safe durable workflows for multi-step agent operations
Dynamic Apps for deploying AI-generated application backends
Managed cloud, VPC, on-premises, self-hosted, and air-gapped deployment options
Dashboard observability for Actors, agentOS sessions, workflows, and releases
Rivet MCP integration for AI clients such as Claude Code, Codex, and Cursor
Postgres, FoundationDB, and S3 storage support
Integration with React, Next.js, Svelte, Hono, Express, Node.js, Bun, Deno, AWS, Kubernetes, and other tools
Advantages
Comprehensive infrastructure stack covering orchestration, execution, workflows, and deployment
Durable processes and workflows continue through restarts and support sleeping actors
Supports managed cloud and flexible self-hosted deployment models
Open-source and free to self-host under the Apache 2.0 license
Strong isolation and secure execution capabilities for agent environments
Works with popular frameworks, runtimes, cloud providers, and developer tools
Detailed observability through the dashboard and Rivet MCP
Suitable for VPC, on-premises, regulated, sovereign-cloud, and air-gapped deployments
缺点：Advanced Enterprise Edition features require contacting sales
缺点：Cloud usage costs can increase with active execution, storage, reads, writes, and egress
缺点：The platform may require infrastructure and distributed-systems expertise for self-hosting
缺点：Free cloud plan has hard monthly limits and limited support
缺点：Some enterprise capabilities, such as FoundationDB persistence, ACLs, and advanced analytics, are not included in standard plans
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