Website profiles · Technology insights · Alternatives

univer.ai

Univer is the office harness for AI agents—an agent-native runtime for spreadsheets, documents, slides, canvases, relational tables, and PDFs, with isolated worktrees and human-reviewed changes.

No paid content found
Visit website
Profile views 10 Outbound visits 14 Normal
Univer Full homepage screenshot

At a glance

Category
Artificial Intelligence
Language
English
Paid-content signal
No paid content foundObserved
Registered
2023
Hosting
Amazon CloudFrontInferred
HTTPS certificate trusted
PassedObserved
Last updated

Website review

This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.

What is Univer?

Univer is an agent-native office runtime: one environment where AI agents and people work together on spreadsheets, documents, slides, canvases, relational tables, and PDFs. Rather than treating files as opaque attachments, it turns them into structured, verifiable content that agents can read and modify.

Its distinguishing idea is the "harness": multiple agents run in parallel on isolated worktrees, and their changes are reviewed by a human before being accepted. The six tools share one storage and computation layer, so a slide can hold a live sheet, a document can cite its source, and references stay synchronized when underlying data changes. Files live in a single .univer container and can embed one another.

Univer is available in two main forms:

  • An SDK for teams building office capabilities into their own product — bring your own UI, auth, databases, and knowledge bases, and customize formulas, assets, and components down to the engine.
  • An end-user workspace where the agent integrations (Claude Code, Codex, OpenCode, and others listed on the page) operate on your files.

Who it suits: developers embedding spreadsheet or document engines, and teams that want agent-generated edits to office files under human review instead of applied blindly. If you only need a single-file editor for occasional manual work, a conventional office suite is simpler; Univer's value shows up when agents, multiple file types, and synchronization across them are central.

Next step: open the live spreadsheet demo on the site to judge rendering and formula behavior, then read the SDK docs to see how much of the runtime you would self-host versus build yourself.

How does Univer turn office files into agent-native structured code?

Univer's core claim is that office files stop being opaque blobs and become something an agent can read, reason about, and edit as structured data. Instead of an agent driving a GUI or guessing at a binary format, the file's contents — cells, formulas, document blocks, slides, tables — are exposed as a structured, verifiable model that code can operate on.

What "agent-native" means here

  • Files are represented as structured, verifiable code rather than a rendered surface, so an agent's edits are explicit operations on known objects.
  • Six tools — Spreadsheet, Docs, Slides, Canvas, Relational Table, and PDF Editor — share one runtime and the same storage and computation layer, so an agent working across file types does not lose context when switching.
  • Sheets, docs, slides, and canvases can live in a single .univer file and embed each other: a slide can hold a live sheet, a doc can cite its source, a canvas can lay out the rest.
  • Because blocks reference shared sources, a change in one place propagates — sources change, references update.

How the workflow stays safe

Univer runs multi-agent workflows on isolated worktrees: agents work in parallel by default, and changes are human-reviewed before being accepted. That is the practical trade-off — you get parallelism and speed, but you accept a review step in exchange for traceability. Every change is recorded, and humans and agents co-edit in the same file.

Who this fits

A team building an internal tool where an agent maintains a pricing model, a report, and the deck that summarizes it would benefit most: one integration covers all six office tools, the SDK lets you build your own UI, and you can self-host with your own auth, databases, and knowledge bases. Customization reaches down to formulas, assets, and components.

If you only need a single document edited once, the runtime and worktree model is more machinery than the task requires. The value shows up when files are numerous, cross-referenced, and edited repeatedly by both people and agents.

Next step

Pick your most cross-referenced artifact — the spreadsheet that feeds a report that feeds a deck — and test whether edits propagate correctly across those three blocks in one file. If they do, the composition model is doing real work for you; if not, a simpler per-file tool is the better fit. Univer's SDK and live demos are the place to try this: Univer.

How do multi-agent worktrees handle parallel editing and human review in Univer?

Univer treats parallel agent work as isolated worktrees rather than a shared live document. Each agent gets its own worktree — a separate working copy of the same file — so several agents can edit spreadsheets, docs, slides or canvases at once without overwriting each other. The product describes this as "parallel by default, human-reviewed by design": agents run in parallel, but their changes are not simply merged into the canonical file. A human reviews the proposed changes before they land.

That combination matters more than the parallelism itself. Two things usually break when multiple agents touch one office file: agents clobber each other's edits, and nobody can tell which change came from which agent or why. Worktrees address the first; the human review gate addresses the second, because each worktree's diff can be inspected on its own terms.

A concrete scenario: you want an agent to restructure a financial model in a spreadsheet, another to update the narrative in a doc that cites those figures, and a third to refresh a slide deck built on the same data. In Univer's model, each works in its own worktree; you then review the three sets of changes before they are accepted. Because the six tools share one runtime and one .univer file, a slide can hold a live sheet and a doc can cite its source, so references stay synchronized when sources change.

Trade-offs to weigh:

  • Review is the bottleneck by design. Parallel generation is fast; the human gate is deliberate and does not scale for free. High-volume, low-risk edits may feel slower than letting agents write directly.
  • Isolation means merge decisions. Independent worktrees can still conflict semantically — two agents "fixing" the same formula differently — and the human reviewer resolves that.
  • Agent-agnostic, not agent-managed. The page lists OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy and Kimi Work as supported agents, so orchestration and review workflow are largely yours to build.

If you are evaluating this for a team, start with one file type and two agents, and define your review criteria (what a reviewer must check before accepting a worktree) before scaling out. For the underlying runtime and SDK details, see Univer.

Which AI agents and coding tools can I connect to Univer?

Univer lists these agent and coding tools as supported integrations for its office runtime:

  • OpenCode
  • Claude Code
  • OpenClaw
  • Hermes
  • Codex
  • WorkBuddy
  • Kimi Work

So if you already use one of those as your coding or task agent, you can point it at Univer rather than building a separate bridge. The runtime is designed to be agent-agnostic: the same setup works across spreadsheets, docs, slides, canvases, relational tables and PDFs, with isolated worktrees for parallel agent runs and human review before changes land.

A practical example: a team using Claude Code for scripting could have it edit a spreadsheet model, generate a slide deck from the results, and update a doc that cites the sheet — all in one .univer file, so references stay synchronized instead of being copy-pasted between tools.

How to decide: pick the agent you already have wired into your workflow (or the one your team standardizes on) rather than switching tools for Univer's sake. If you need multiple agents working in parallel on the same file set, the worktree model is the feature to evaluate first. If you're building your own product rather than using an agent directly, the Office SDK is the relevant entry point — it lets you embed the six office tools with your own UI, auth, databases and knowledge bases.

Next step: open the live demos for the file type closest to your use case, then try one real task — for example, having your chosen agent update a sheet and a linked doc — to confirm the synchronization and review flow match how your team works.

Can I self-host Univer and integrate it with my own authentication and databases?

Yes. Univer is positioned as an agent-native office runtime you can embed in your own product, and its SDK page explicitly describes self-hosting and connecting your own auth, databases, and knowledge bases. The customization scope reaches formulas, assets, and components down to the engine, so you are not limited to a hosted skin over someone else's backend.

H3 What self-hosting actually buys you

  • Your own auth layer. Users sign in through your identity system; Univer does not have to own accounts.
  • Your own data stores. Files, relational tables, and knowledge sources can live in your databases rather than a vendor's.
  • Engine-level customization. Formulas, assets, and UI components are adjustable, which matters if your product needs domain-specific functions or a distinctive editor.

H3 Where the trade-offs sit

You control You take on
Auth, databases, knowledge bases Storage design, sync, and backup
UI and UX via the SDK Building and maintaining that UI
Formulas, assets, components Upgrades and engine-level changes
Deployment environment Capacity planning for large sheets

The page claims browser and server execution for spreadsheets and docs, with 10-million-cell rendering and 500+ spreadsheet functions. Treat those as the product's stated capabilities and verify them against your own workloads — a finance team recalculating a large model will stress different paths than a team editing a slide deck.

H3 A concrete integration scenario

Say you run an internal analytics platform. You keep identity in your SSO, store workbook metadata in your own Postgres, and use Univer as the editing surface. Your agents read and write the same files through the runtime, and changes land in isolated worktrees for human review before merging. That is the workflow the product describes, and it is the part worth prototyping first: pick one document type, wire your auth and one database, and confirm the review loop behaves the way your team expects.

Next step: read the SDK documentation and run the live demos before committing to an architecture. Compare against general-purpose options such as GitHub for open-source inspection if you want to audit the code yourself.

How does the single .univer file keep spreadsheets, docs, slides, and canvases synchronized?

The synchronization comes from putting all six office tools inside one shared runtime rather than linking separate files. A .univer file is a single container: a spreadsheet, document, slide deck, canvas, relational table and PDF all draw on the same storage and computation layer instead of copying data between apps.

That architecture produces three practical effects:

  • Live embedding — a slide can hold a working sheet, a doc can cite its source, and a canvas can lay out content from other blocks. These are references into the same runtime, not pasted snapshots.
  • Reference updates — when a source block changes, dependents see the change because there is no second copy to refresh.
  • Shared co-editing — humans and agents work in the same file, with changes traceable rather than reconciled across exports.

For a concrete case: a quarterly deck whose revenue table is a live spreadsheet block. An agent updates the sheet, and the slide reflects the new figures without anyone re-pasting a chart. The same applies to a doc citing a relational table that an agent has just revised.

Trade-off: this only holds inside the Univer runtime. Exporting a block to a standalone .xlsx or .docx breaks the live link, so treat exports as snapshots, not synchronized copies. Teams that need offline or third-party editing should plan for that boundary. If you want to see the behavior directly, open the live demo linked from Univer and edit a source block to watch dependents update.

Related questions

More questions →
What Is Univer? An Agent-Native Office Runtime

Univer is an office harness for AI agents: a single runtime that handles spreadsheets, documents, slides, canvases, relational tables, and PDFs, and turns office files into structured, verifiable code. It fits you if you're building a product that needs multiple office tools working on the same data, or if you want agents to edit real office files with human review rather than one-shot generation. It is not a standalone office app you download — the site positions it as an SDK plus a runtime you embed and self-host.

The core idea: one runtime, six tools

Most office stacks are separate applications that happen to share a file format. Univer inverts that: six tools share the same storage and computation layer, so they can compose and embed freely.

Tool What the site claims
Spreadsheet Full engine, web rendering of 10 million cells, 500+ built-in functions, PivotTables, sparklines, 31 editable chart types
Docs Typesetting engine with Word-class layout and Notion-like editing, headers/footers, pagination, section breaks, multi-column layout
Slides Part of the same .univer file model
Canvas Lays out other blocks
Relational Table Structured data alongside the document tools
PDF Editor Listed as one of the six tools

The practical consequence: a slide can hold a live sheet, a doc can cite its source, and a canvas can lay it all out — with references updating when sources change. That's the difference between "export a chart image into a deck" and "the deck reads the sheet."

Why "agent-native" matters

The site's framing is that every file becomes structured, verifiable code. Three mechanisms back that up:

  • Isolated worktrees. Multi-agent workflows run on worktrees, parallel by default. Agents don't fight over one mutable file.
  • Human-reviewed changes. Changes are reviewed by design, not as an afterthought — you can trace every edit.
  • Shared context across file types. Agents work across every file type without losing context, because the tools share one runtime rather than passing files between apps.

The site lists compatibility with OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy, and Kimi Work, so the harness is meant to sit under whichever agent you already use.

What you actually build with

Univer ships as an Office SDK. According to the site, you can:

  • Build with all six office tools and multi-agent worktrees inside your own product
  • Build your own UI and UX on top of the SDK
  • Self-host and connect your own auth, databases, and knowledge bases
  • Customize formulas, assets, and components down to the engine
  • Use one integration for all six tools, composed and embedded freely

There's a copyable SDK prompt and a live demo linked from the page if you want to evaluate before committing.

When Univer is the right choice

Choose it when your product needs more than one office surface sharing the same data, when agents must edit files with reviewable diffs, or when you need to self-host and wire in your own auth and storage. Look elsewhere if you want a finished end-user office suite, or if a single embedded spreadsheet is all you need — the six-tool runtime is the point, and you'd be paying for scope you don't use.

The site's own summary is the cleanest test: "Not one tool — the whole runtime." If that sentence describes your requirement, start with the SDK prompt and the live demo.

What “agent-native runtime” means for office files in Univer

Univer is an office runtime built for AI agents: spreadsheets, docs, slides, canvases, relational tables, and PDFs share one storage and computation layer, and every file becomes structured, verifiable code that agents can read and change. That matters if you want agents to work across mixed office files without losing context, and if you need human review of every change. It is not a single-purpose spreadsheet library, and it is not a hosted product you simply log into — the site positions it as an SDK you embed, self-host, and connect to your own auth, databases, and knowledge bases.

What “agent-native” changes in practice

In a conventional office suite, a file is a document for humans and an opaque blob for software. An agent can open it, but it cannot reliably reason about its structure, and it cannot verify what it changed.

Univer inverts that. The runtime treats office content as structured, verifiable code. The practical consequences:

  • Agents work across every file type without losing context. Sheets, docs, slides, canvases, relational tables, and PDFs run on the same runtime, so an agent moving from a table to a slide that cites it does not restart from zero.
  • Data stays synchronized. When a source changes, references update. A slide can hold a live sheet; a doc can cite its source; a canvas can lay out the result.
  • Humans and agents co-edit the same file. Every change is traceable, and the design assumes human-reviewed changes rather than unreviewed automation.

One runtime, six tools

The composition model is the part that distinguishes Univer from stitching together separate libraries.

Tool What the runtime provides
Spreadsheet Full engine, not a grid: web rendering of 10 million cells with smooth scrolling, browser and server execution, real-time collaboration, 500+ built-in functions, conditional formatting, data validation, PivotTables, sparklines, filtering, 31 editable chart types, 180+ shapes
Docs Word-class layout with Notion-like editing: headers and footers, pagination, headings, section breaks, multi-column layout, page size and orientation, tables, pictures, lists
Slides Slides that can embed live content from other tools
Canvas A layout surface that composes content from the other tools
Relational Table Structured data alongside the document tools
PDF Editor PDFs inside the same runtime

Because sheets, docs, slides, and canvases live in one .univer file, they compose and embed freely. A slide holding a live sheet is not an import — it is the same object, so the reference stays current.

Multi-agent workflows on worktrees

Parallel agent work usually fails at merge time. Univer's answer is isolated worktrees: agents work in parallel by default, and their changes are human-reviewed by design. You get concurrency without giving up a review gate.

The runtime is built for any agent — the site lists OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy, and Kimi Work — so the workflow layer is not tied to one vendor.

How you would actually adopt it

Univer is an SDK, so the path is build-and-embed rather than sign-up-and-use:

  1. Start from the SDK. Build with all six office tools and multi-agent worktrees inside your own product.
  2. Build your own UI and UX. The SDK does not dictate the interface.
  3. Self-host. Connect your own auth, databases, and knowledge bases.
  4. Customize down to the engine. Formulas, assets, and components are all adjustable.
  5. Use one integration for six tools. They compose and embed freely rather than requiring six separate integrations.

The site offers a copyable SDK prompt, a live demo, and documentation as entry points.

Where it fits, and where it does not

Choose Univer when you are building a product where agents and humans edit office files together, you need cross-file context and synchronized references, and you want to self-host with your own auth and data layer.

Look elsewhere if you want a finished end-user office app, or if you need a single spreadsheet component with no document, slide, canvas, table, or PDF surface. The site does not publish pricing or a hosted sign-up flow, so treat it as an SDK to evaluate and self-host rather than a service with a free tier — verify licensing and deployment terms with the project before committing.

How to Start Building with the Univer Office SDK

Univer's Office SDK is the entry point for developers who want to embed office tools and agent workflows directly into their own product. You use it to build all six office tools — spreadsheets, docs, slides, canvases, relational tables, and PDFs — plus multi-agent workflows on worktrees, inside your own application. It fits teams that want to design their own UI/UX, self-host the runtime, and connect their own auth, databases, and knowledge bases rather than adopt a finished end-user app.

What the SDK gives you

The SDK is described as one integration for six office tools that you can compose and embed freely. Instead of stitching together separate libraries for each file type, you integrate once and get the whole runtime.

  • Six tools, one runtime. Spreadsheets, docs, slides, canvases, relational tables, and PDFs share the same storage and computation layer.
  • Composable and embeddable. Tools can be combined and embedded into each other — a slide can hold a live sheet, a doc can cite its source, a canvas can lay it all out.
  • Synchronized data. Because sources and references share one runtime, when a source changes, references update.
  • Multi-agent workflows on worktrees. Parallel by default, with human-reviewed changes by design.
  • Agent compatibility. The site lists OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy, and Kimi Work as supported agents.

What you can customize

The SDK is positioned for teams that need control below the surface, not just a themed widget.

  • Build your own UI and UX. The SDK provides the engine; you design the interface.
  • Self-host. Run it on your own infrastructure and connect your own auth, databases, and knowledge bases.
  • Customize down to the engine. Formulas, assets, and components are all customizable.
  • One integration, six tools. You don't maintain six separate integrations.

How to get started

  1. Go to the Univer site and open the SDK section. The page presents two paths: "Build with SDK" and "Read the docs."
  2. Copy the SDK prompt. The site provides a "Copy SDK prompt" action, which is the fastest way to hand the integration context to your agent or development environment.
  3. Read the docs. The documentation is the authoritative source for setup, APIs, and configuration.
  4. Start from the GitHub repository. The site links to GitHub for building with the SDK.
  5. Try the live demos first if you want to see behavior before integrating. The page offers live demos for the spreadsheet and docs tools.

What each tool covers

The runtime is not a thin wrapper around a grid or a text box. Each tool is a full engine.

Spreadsheet

  • Full spreadsheet engine with web rendering of 10 million cells and smooth scrolling.
  • Runs in the browser and on the server, with real-time collaboration built in.
  • Formula execution with 500+ built-in functions, conditional formatting, data validation, PivotTables, sparklines, and filtering.
  • Freeze panes, group rows and columns, merge cells, tables, and number formats.
  • 31 editable chart types, 180+ shapes, rich text, floating pictures, pictures in cells, and hyperlinks.

Docs

  • Full typesetting engine with Word-class layout and Notion-like editing.
  • Runs in the browser and on the server, with real-time collaboration built in.
  • Headers and footers, pagination, headings, section breaks, multi-column layout, and page size and orientation.
  • Tables, pictures, bulleted and numbered lists.

Choosing between SDK and live demos

If you want to… Start with
Evaluate behavior before committing Live demos for spreadsheet and docs
Embed tools in your own product Office SDK
Design your own UI/UX Office SDK
Self-host with your own auth and databases Office SDK
Customize formulas, assets, and components Office SDK

Common sticking points

  • The SDK is not a hosted product. You self-host and connect your own auth, databases, and knowledge bases, so plan for that infrastructure work.
  • UI is yours to build. The SDK gives you the engine and components; the interface is your responsibility.
  • Agent support is a list, not a guarantee. The site names specific agents; verify your target agent against the docs.
  • Pricing and login requirements are not stated on the page. Don't assume the SDK is free or requires no account — check the docs and GitHub for current terms.

For the exact setup steps, API surface, and current terms, use the documentation and GitHub links on univer.ai rather than relying on the marketing page alone.

How Univer Unifies Spreadsheets, Docs, Slides, Canvases, Tables, and PDFs in One Runtime

Univer unifies six office tools — Spreadsheet, Docs, Slides, Canvas, Relational Table, and PDF Editor — by running them on a single runtime that shares the same storage and computation layer. Instead of stitching together separate file formats and engines, all six tools live inside one .univer file, where blocks of different types can compose and embed freely and stay synchronized. This matters if you want agents and humans to work across multiple file types without losing context or manually reconciling data between them.

The core mechanism: one runtime, shared storage and computation

The unifying idea is that the six tools are not separate products glued together. They share:

  • The same storage — content from every tool type is held in one place rather than in isolated files.
  • The same computation — formulas, references, and derived values are computed against a common layer.

Because storage and computation are shared, a change in one block can propagate to anything that references it. The site describes this as "Data stays synchronized — sources change, references update."

What this looks like in practice

The clearest example given is composition across types: a slide can hold a live sheet, a doc can cite its source, and a canvas can lay it all out. These aren't static embeds — the embedded content remains connected to its origin, so when the source changes, the reference updates.

The six tools in the runtime

Tool What it is
Spreadsheet A full spreadsheet engine (not just a grid), with web rendering of 10 million cells, browser and server execution, and real-time collaboration
Docs A full typesetting engine with Word-class layout and Notion-like editing, in browser and on server
Slides Presentation content that can embed live blocks such as sheets
Canvas A layout surface that can arrange content from other blocks
Relational Table Structured, relational data within the same runtime
PDF Editor PDF content handled alongside the other tools

The point of the table isn't feature comparison — it's that all six are addressed through one integration, and they can be "composed and embedded freely."

The .univer file as the container

Rather than exporting between formats, Univer keeps multi-type content in a single .univer file. Within that file:

  • Every block lives in one place.
  • Blocks of different types can reference each other.
  • Humans and agents co-edit the same file, and every change is traceable.

This is what makes cross-type references stable: a doc citing its source, or a slide holding a live sheet, works because both live in the same container under the same runtime.

Why this matters for agent workflows

Univer describes itself as "the office harness for AI agents" — an agent-native runtime. Two properties follow from the unified design:

  1. Agents work across every file type without losing context. Because the tools share storage and computation, an agent doesn't need to translate between formats or re-establish context when moving from a sheet to a doc to a slide.
  2. Parallel work is isolated and reviewable. Univer supports Multi-Agent Workflows on Worktrees — parallel by default, human-reviewed by design — with isolated worktrees and human-reviewed changes.

The site lists compatibility with a range of agents, including OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy, and Kimi Work.

How to start building

Univer offers an Office SDK for embedding all six tools and the multi-agent worktree workflows inside your own product. Per the site, with the SDK you can:

  • Build your own UI and UX.
  • Self-host and connect your own auth, databases, and knowledge bases.
  • Customize formulas, assets, and components down to the engine.
  • Use one integration for six office tools, composed and embedded freely.

Entry points referenced on the page: the SDK prompt (copyable), the docs, a live demo, and the GitHub repository.

What to keep in mind

  • The unification claim rests on shared storage and computation — the value shows up when content of different types references each other, not when you use a single tool in isolation.
  • Synchronization is described as automatic ("sources change, references update"), which is the property to verify against your own use case.
  • The page does not state pricing, licensing terms, or login requirements, so treat availability and cost as things to confirm directly before committing.
How Univer’s Multi-Agent Workflows on Worktrees Work

Univer runs multiple AI agents in parallel by giving each one an isolated worktree, so their edits never collide, and then routes every change through human review before it lands in the shared file. This applies when you are building on the Univer Office SDK or using its agent runtime with supported agents such as Claude Code, Codex, OpenCode, OpenClaw, Hermes, WorkBuddy, or Kimi Work. The design goal is stated directly on the site: "Parallel by default, human-reviewed by design."

What a worktree is here

A worktree is an isolated working copy of the office file and its surrounding context. Instead of pointing several agents at one live document, Univer gives each agent its own branch of the work. Because the copies are separate, two agents can edit the same spreadsheet or doc at the same time without overwriting each other.

This matters because office files are stateful: a formula depends on cells, a slide embeds a live sheet, a doc cites a source. If agents wrote into one shared file concurrently, you would get conflicting references and broken layouts. Isolation removes that class of conflict before it happens.

The workflow, step by step

  1. Define the task and split it. You describe the work (for example, "update the Q3 forecast sheet and refresh the summary doc"). The runtime can fan this out across multiple agents rather than running one agent serially.
  2. Each agent gets its own worktree. The agent operates on an isolated copy, so its reads and writes stay local to that branch.
  3. Agents run in parallel. Multiple agents work simultaneously across file types — spreadsheets, docs, slides, canvases, relational tables, and PDFs — without losing context, since they share the same underlying storage and computation model.
  4. Changes come back for review. Each worktree's output is presented as a reviewable change rather than being merged automatically. A human inspects it.
  5. Approved changes merge; rejected ones are discarded. Only reviewed changes reach the shared file, keeping every change traceable.

The key property is that parallelism and safety are handled by the same mechanism: isolation makes concurrency possible, and review makes it safe.

Why human review is built in, not bolted on

Agents are good at producing volume and bad at knowing when a change is wrong for your business. In an office file, a plausible-looking edit can silently break a reference chain — a source cell changes, and every dependent formula, chart, or cited block shifts with it.

Univer's answer is to keep the human in the merge path. The site frames this as "human-reviewed by design" and "every change traceable." Practically, that means you are not approving a black-box result; you are reviewing a diff against an isolated copy, which is a far smaller and more legible thing to check.

How this fits the rest of the runtime

The multi-agent workflow is not a separate product bolted onto an editor. It sits on the same runtime that powers the six office tools:

Piece Role in the workflow
One runtime, six tools Agents work across sheets, docs, slides, canvases, relational tables, and PDFs without switching context
Shared storage and computation Sources stay synchronized, so references update when the underlying data changes
.univer file format Sheets, docs, slides, and canvases live in one file, composing and embedding freely
Worktrees Isolate each agent's work so parallel edits don't collide
Human review Gates every change before it merges

Because a slide can hold a live sheet and a doc can cite its source, an agent editing one block can affect another. Worktree isolation plus review is what keeps that composition from turning into a cascade of unintended edits.

What you need to run it

  • An agent that Univer supports. The site lists OpenCode, Claude Code, OpenClaw, Hermes, Codex, WorkBuddy, and Kimi Work.
  • The Univer Office SDK if you are embedding this in your own product. The SDK lets you build your own UI and UX, self-host, and connect your own auth, databases, and knowledge bases.
  • A review step in your process. The workflow assumes a human decides what merges. If you skip that, you lose the guarantee the design is built around.

Customization runs down to the engine level — formulas, assets, and components — so the runtime can be shaped to your file types and conventions rather than forcing your content into a fixed model.

Where to start

The site offers a live demo for the spreadsheet and docs tools, a "Copy SDK prompt" action, and a "Read the docs" link, plus a GitHub entry point for building with the SDK. If you want to see the multi-agent behavior before committing, the demo is the fastest way to understand how isolated worktrees and reviewable changes feel in practice.

The short version: Univer makes agents fast by running them in parallel on isolated copies, and keeps them safe by making a human approve what actually lands.

Website Overview

The available information shows a mix of normal operation and configuration gaps. Depending on how the website is used, these gaps may affect secure access or the consistency of its public presentation.

Domain and Registration

Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain has about 3 years of registration history; its current configuration provides more context than age alone. The registrar is GoDaddy.com, LLC, a widely used domain service provider. Registration contact information is publicly available through RDAP. The domain uses the common .ai extension, which is not an independent safety signal.

DNS and Email

The lowest TTL is 60 seconds, supporting rapid record changes at the cost of more frequent lookups. Nameservers are provided by Amazon Route 53, indicating managed DNS hosting. MX records point to the Tencent Enterprise Mail email service. No CNAME was found; the observed records resolve directly to addresses. SPF and DMARC are configured. DKIM status is unknown.

TLS and Certificates

The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued within the Amazon cloud or CDN ecosystem. The certificate is valid for about 197 days in total, with 172 days remaining.

HTTP and Browser Security

X-Powered-By exposes backend information: Next.js. The checked browser-security headers were not detected, leaving fewer explicit browser-side safeguards. The x-cache, via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers. The Server header contains the custom value istio-envoy.

Technology Stack Analysis

The public page identifies Next.js, Amazon CloudFront without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

The meta description has 194 characters and may be shortened in search results. Twitter Card metadata is configured. JSON-LD includes Organization data, helping describe the organization as an entity. The title has 41 characters, within a common display range. The observed directives allow indexing and link following.

Hosting and Email

DNSAmazon Route 53
HostingAmazon CloudFront
EmailTencent Enterprise Mail
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) United States flagUnited States Inferred 18.67.65.111

Registration details

RDAP / WHOIS

RegistrarGoDaddy.com, LLC
Registered2023-04-29
Expires2027-04-29
Domain statusclient delete prohibited、client renew prohibited、client transfer prohibited、client update prohibited
Nameserversns-14.awsdns-01.com、ns-1499.awsdns-59.org、ns-1924.awsdns-48.co.uk、ns-964.awsdns-56.net
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Auniver.ai18.67.65.11160—
Auniver.ai18.67.65.6160—
Auniver.ai18.67.65.6860—
Auniver.ai18.67.65.7060—
MXuniver.aimxbiz1.qq.com3005
MXuniver.aimxbiz2.qq.com30010
NSuniver.ains-14.awsdns-01.com172800—
NSuniver.ains-1499.awsdns-59.org172800—
NSuniver.ains-1924.awsdns-48.co.uk172800—
NSuniver.ains-964.awsdns-56.net172800—
TXTuniver.aigoogle-site-verification=wnHxRoA2c0V4MOh5cnyeScbPg9PJVJxu_BuwDoe2mzE300—
TXTuniver.aigoogle-site-verification=zV5FKs6h-JPV3MrKbvvP2Z-PYSJ7CwFMVTD-PT7787M300—
TXTuniver.aiopenai-domain-verification=dv-lW9zI4DqhvnkRG65pCiDFwtx300—
TXTuniver.aiv=spf1 include:spf.mail.qq.com ~all300—
DMARC_dmarc.univer.aiv=DMARC1; p=quarantine; rua=mailto:[email protected]300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectuniver.ai
IssuerAmazon
Valid until2027-03-21T23:59 · Remaining when checked: 172 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=utf-8
cache-controlprivate, no-cache, no-store, max-age=0, must-revalidate
serveristio-envoy

Identified technologies

Next.jsAmazon CloudFront

Pages, Search and Sharing

Meta descriptionUniver is the office harness for AI agents—an agent-native runtime for spreadsheets, documents, slides, canvases, relational tables, and PDFs, with isolated worktrees and human-reviewed changes.
Canonical URLhttps://univer.ai
LanguageEnglish (default)
Twitter Cardsummary_large_image
All bots 1 allowed · 0 disallowed
  • Allow/

User reviews (0)

  • No reviews yet.