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Feature · Upsolve Workspaces

Your whole agent, in one versioned workspace.

Data model, knowledge base, skills, golden questions, prompts, memory, chat history, playground and deploy, all under one pane of glass. Version them together and ship one release to your product.

Single pane of glassVersioned as oneLive traces
New · Launch Month day 11, Sat 10 Oct 2026 · Upvote on Product Hunt →
WORKSPACE · PROCUREMENT DATAV16 PRODUCTION
Upsolve workspace playground answering a monthly PO spend question, with a live trace of each agent step
01 / The problem

Agent context is scattered, so nobody can see it or ship it as one thing.

01

The data model, prompts, skills and examples live in different places and drift apart.

02

Changing one piece means guessing how it affects the rest of the agent.

03

Debugging means jumping between chat logs, traces and config to piece together what happened.

02 / How it works

From setup to production in three steps

01

Build your context

Data model, knowledge base, skills, assets like golden questions and charts, system prompts and per-user memory, each in its own section of the workspace.

02

Test in the playground

Chat as yourself or as any user in your organisation, with a live trace of every step: golden examples, schema retrieval and chart validation.

03

Version and deploy

The whole workspace is versioned as one release, with production and draft versions. Pick a version and deploy it into your product as an iframe.

03 / What changes

What changes with Upsolve Workspaces

Without Upsolve Workspaces

Context lives in a dozen places, and a change to one piece can quietly break another.

With Upsolve Workspaces

Every piece of the agent sits in one workspace, is tested in one playground and ships as one version.

04 / What you get

Everything that ships with Workspaces

CONTEXT

One pane of glass

Context, monitoring, testing and deployment, all in one sidebar.

VERSIONS

Versioned as one

The data model, knowledge base, skills and assets ship together as a single version.

HISTORY

Chat history in context

See who asked what, from which surface and at what cost, then open any session.

PLAYGROUND

Playground with live traces

Test as any user and watch each step of the answer as it happens.

05 / Where it fits

One layer of a closed learning loop

Upsolve builds the whole stack for data agents that stay accurate in production. Every conversation feeds the next improvement.

01
Ontology
Your data described clearly. Permissions enforced deterministically, not delegated to the agent.
This feature
02
Agent harness
Snappy, reliable, accurate. Learns from real interactions and updates its skills and memory.
03
Distribution
Your product, your Slack channels, Claude. Go where your users already are.
04
Improvement loop
Live evals on real usage find the gaps, then you harden the context to close them.
06 / Launch Month

Part of Upsolve Launch Month

See all fourteen launches →
07 / FAQ

Common questions

The data model, knowledge base, skills, assets such as golden questions and charts, system prompts, per-user memory, chat history, a playground and deployment.

The whole workspace is versioned as one. You keep production and draft versions and choose which one to deploy.

Yes. In the playground you can chat as yourself or as any user in your organisation and see the live trace.

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