
Rivet provides an open-source, self-hostable orchestrator designed to run workloads that agents require, including actors, agents, and workflows. It targets developers and teams building agent-driven software that can run on their own infrastructure or in managed environments. The tool emphasizes density, speed, and scalability for orchestrating diverse workloads that agents need to operate effectively.
The platform centers on durable, stateful components. It distinguishes Actors as long-lived processes, Agents as durable per-user workers, and Workflows as multi-step operations that replay. It also introduces agentOS for code execution within a filesystem-like environment and a preview for dynamic apps deployed per user. These components together form a cohesive runtime for agentic tasks.
It highlights open-source availability and self-hosting as core attributes, with a control plane that scales across many Actors and supports multiple workload types.
It emphasizes compatibility with various environments and storage backends, and notes the existence of BYOC (bring-your-own-cloud) and self-hosted configurations.
Adaptive Engine evaluates, tunes, and serves LLMs for enterprise AI, using reinforcement learning to optimize models and production feedback.
Prompt Octopus compares model responses side-by-side, with a VSCode extension and API key options for use in your codebase.
docbatch.ai extracts invoice, receipt, form and contract data from PDFs and images in batch, exporting to JSON, CSV or Excel.
CartAI is an API that lets an AI agent search products, estimate cost and complete checkout and payment across merchants on a developer's behalf.