One agent for your whole workspace

From new endpoints to search tuning to nightly tasks — the agent works across everything your workspace can do, safely.

Build & extend

Draft new endpoints, AI tools, agents, and graph schema changes from a plain-language description — compiled and validated before you ever see them.

Build & extend

Draft new endpoints, AI tools, agents, and graph schema changes from a plain-language description — compiled and validated before you ever see them.

Operate & audit

Inspect any endpoint, tool, agent, index, task, exception or metric — read-only, with no secrets exposed.

Operate & audit

Inspect any endpoint, tool, agent, index, task, exception or metric — read-only, with no secrets exposed.

Ship safely

Every change is statically audited, shown as a side-by-side diff, committed to git, tested end-to-end, and rolled back automatically if something breaks.

Ship safely

Every change is statically audited, shown as a side-by-side diff, committed to git, tested end-to-end, and rolled back automatically if something breaks.

Capabilities

What the agent can build and run

Everything the agent can create, change, and operate inside your workspace — with your approval on every change.

Examples of what you can ask

Real prompts the agent turns into working endpoints, tools, indexes, and tasks.

Build & extend

Build & extend

Draft endpoints, tools, agents, and graph schema changes from plain language — reviewed before anything ships.

“Add an endpoint at support/triage that takes a ticket body and runs the Ticket-Triage agent.”

“Add an endpoint at support/triage that takes a ticket body and runs the Ticket-Triage agent.”

“Create an AI tool that looks up a customer’s open orders and returns them as JSON.”

“Create an AI tool that looks up a customer’s open orders and returns them as JSON.”

“Make me an agent that summarizes a support case and tags its priority.”

“Make me an agent that summarizes a support case and tags its priority.”

“Add a Customer node type with an email key and a tier field.”

“Add a Customer node type with an email key and a tier field.”

Data & similarity

Data & similarity

Inspect data, backfill fields, and build similarity engines that fuse embeddings with your graph.

“Inspect the CSV I just uploaded to Stage and suggest a schema for it.”

“Inspect the CSV I just uploaded to Stage and suggest a schema for it.”

“Write a Shell script to backfill the region field on all Customer nodes.”

“Write a Shell script to backfill the region field on all Customer nodes.”

“Build a ‘similar products’ engine fusing embeddings and category overlap.”

“Build a ‘similar products’ engine fusing embeddings and category overlap.”

“Schedule a nightly task that re-indexes new files.”

“Schedule a nightly task that re-indexes new files.”

Operate, audit & fix

Operate, audit & fix

See what changed, who changed it, and roll anything back — every edit is audited before it ships.

“Show me the endpoints that errored in the last hour and what threw.”

“Show me the endpoints that errored in the last hour and what threw.”

“Who changed the pricing endpoint last week?”

“Who changed the pricing endpoint last week?”

“Review my pending changes for any access-mode downgrades before I approve.”

“Review my pending changes for any access-mode downgrades before I approve.”

“That last change broke search — roll it back.”

“That last change broke search — roll it back.”

Knowledge

Knowledge

Ask the agent about your own workspace — schemas, query languages, and how things fit together.

“Remind me how the graph query language works.”

“Remind me how the graph query language works.”

“What node types exist and what fields do they have?”

“What node types exist and what fields do they have?”

Questions for developers

Common questions from developers building on Curiosity.

Which model does Curiosity run?
What can I build on Curiosity?
How does the knowledge graph work?
Can I run models on my own system?
Can I connect custom data sources?
How do I build agents?
Can I extend the platform with custom logic?
Can I run Curiosity on my own infrastructure?
How are permissions enforced in what I build?
How do search and embeddings work together?
How do I get started?

Connected knowlege for AI systems

Connected knowlege for AI systems