useagent vs Temporal AI

Temporal's core argument is that execution state, not the model, is the fragile part of an agent run. Its programming model persists every Workflow step, retries Activities with backoff, four timeout classes and heartbeating, and lets Signals, Queries and Updates read or mutate a running execution mid-flight. Workflow Streams add live interactivity; durable Timers sleep for months; cron Schedules support backfill and Continue-As-New; the Saga pattern is expressed as compensating transactions. Recent Cloud additions — Projects, Custom Roles, Temporal Cloud on Azure, and Serverless Workers for AWS Lambda and GCP Cloud Run (both pre-release/Public Preview) — point at a platform-engineering buyer who cares about governance and autoscaling infrastructure more than model choice. useAgent goes the other direction entirely: it ships no model and no coding agent, wrapping Claude Code, Codex, OpenCode and Pi behind one session interface. What it adds is the environment — an isolated Linux workstation per thread with desktop, terminal and browser, Daytona or self-hosted CubeSandbox isolation, and screen recording of what a run actually did. Its differentiators are delivery surfaces: a shared team knowledge base with separated personal and org memory, versioned skills imported from GitHub and pinned to a task, OAuth connectors for Gmail, Linear, Notion and HubSpot with server-side sealed tokens, plus artifacts (documents, spreadsheets, presentations, PDFs, images, videos, PRs) with native exports. Temporal makes arbitrary code durable; useAgent makes existing agent CLI runs productive and auditable.

The pricing comparison is really a build-vs-run distinction. Temporal is freemium: the open-source server is free, and the paid layer is Temporal Cloud, where the current roadmap sells governance and scale — Projects to organize namespaces and Nexus endpoints, Custom Roles for granular per-resource permissions, and Azure availability, all in pre-release. It is priced as infrastructure, which means your real cost is the Cloud plan plus the engineering time to write deterministic Workflow code. That trade is only worth it when executions genuinely must survive crashes and abandoned sessions; for simple cron or stateless request/response work, the model adds overhead without exercising durability. useAgent is free and open source with a completely different cost curve: zero licence fee, but you supply the model spend by connecting your own Claude Code, Codex, OpenCode, or Pi account or API key, and you or your team operate the sandbox layer — Daytona managed, or self-hosted CubeSandbox and your own Postgres. In practice that means for a team already paying for Codex or Claude Code subscriptions, useAgent's marginal software cost is nothing; the hidden bill is Docker, Terraform and multi-service deploy competence. Conversely, a team with no existing provider subscription gets no bundled model access at all, so useAgent is the wrong first step.