Skip to Content
Get StartedWhat is UpServe?

What is UpServe?

UpServe is a platform where AI agents you create work autonomously on your behalf. Unlike a chatbot, an agent picks the right tools and runs the task to completion after a single instruction.

What can you do with it?

You can hand off work like:

  • 📰 Daily morning news briefing — Agent searches the web for your keywords and pushes a summary
  • 📊 Competitor price monitoring — Visits sites daily and notifies on price changes
  • 📧 Email triage + draft replies — Connect a mail account and the agent reads, categorizes, and drafts replies
  • 🔍 Research + report writing — Give a topic, get a markdown report after autonomous research
  • 🤖 First-line customer support — Share a public link to let external users talk to your agent

How is it different from other AI tools?

Typical chatbotUpServe
Response styleOne-shot answerRuns autonomously until the goal is met
Tool useNone or limitedWeb search, browser, files, code execution — combine freely
RepetitionYou re-send the same chat message every timeSet a schedule, runs automatically
CollaborationSingle botMultiple agents work as a team
LearningStarts from scratchMemory accumulates know-how over time

One picture

[Typical chatbot] User ──question──▶ Bot ──answer──▶ User (turn ends) [UpServe agent] User ──goal──▶ Agent ├─ ① Web search → result ├─ ② File write → notes saved ├─ ③ Memory search → recall past know-how ├─ ④ Image generation → image created └─ ⑤ Deliver to user ──▶ User (loops autonomously, mixes tools freely, until done)

What about the server?

You don’t need one. No Mac mini running 24/7, no separate cloud VM to rent. UpServe handles hosting, execution, and scheduling for you.

  • 🖥️ No local machine required — Close your laptop, lose Wi-Fi, the agent keeps running in the cloud
  • Always-on — A 3 AM cron schedule fires on time, regardless of your device state
  • 🔧 Zero infra ops — No Docker, Kubernetes, or server patching to worry about

A dedicated virtual workspace per agent

Every agent gets an isolated sandbox as its private workspace. Code execution, file operations, and browser automation all happen inside it — agents never interfere with each other.

ResourceDetails
Compute & memoryDedicated resources sized for agent workloads
File storageWorking files persist between turns
NetworkInternet access enabled
IsolationPer-agent independent environment — agents never interfere

Inside that environment, the agent can run Python scripts through a shell (and install other runtimes on demand if needed), drive a real browser, and persist working files between turns.

Which models can it use?

UpServe brings together models from Anthropic, OpenAI, Google, MiniMax, and more — and you can also register your own self-hosted endpoints. Models are grouped into three tiers; you choose the tier when creating an agent.

TierBest for
FrontierDeep reasoning, complex analysis, high-stakes tasks
BalancedThe default for most agents — strong quality/cost balance
LiteSimple lookups, notifications, short answers — fastest and cheapest

If you do not pick a tier, Balanced is applied by default. After creation, you can change the tier anytime from each agent’s Settings tab.

On any paid plan (Starter or Pro) you can set the default model for each tier globally under Settings → Models, and also pin a specific model per agent from its Settings tab (e.g. a particular Claude, GPT, or Gemini build). Pinning a Frontier-tier model requires a Pro plan.

What can you explore next?

Here is a quick look at the major features waiting for you.

FeatureOne-linerLearn more
Team agentsGroup agents by role to tackle complex workflows in parallelBuild a team
Scheduled runsSet a recurring schedule and the agent runs on its own at the right timeScheduling
Snapshot sharingPublish a snapshot of your agent as a public link or embeddable widgetShare an agent
Marketplace & skillsInstall agents or skills created by others and start using them immediatelyInstall from marketplace · Manage skills
iOS app + push notificationsGet an instant iPhone notification the moment an agent finishes. While it runs, follow along via Dynamic Island and Lock Screen Live ActivitiesiOS app · Notification settings
Human-in-the-LoopAgent pauses and asks for your approval before taking sensitive actionsApproval system
External services + event triggersConnect webhooks and external events so agents wake up exactly when neededConnections · Triggers

Next steps