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The operating system for your infinite workforce

DeepMyst is the operating system for your infinite workforce. Build AI agents in human language, run them across 500+ models without rewriting a line, and set security, budgets, and access rules once — they apply to every request, automatically. This isn’t another AI app builder. It’s the operating system for an AI-native company: the place where you describe an agent, hand it to a team, and trust that every run it makes is routed, optimized, governed, and audited the same way.

Why DeepMyst

Standing up AI inside a company usually means stitching together a model provider, a prompt framework, a vector store, a policy layer, an audit trail, and a billing system — then doing it again for the next team. DeepMyst replaces that assembly with one platform:
  • Build in human language. Describe an agent in a sentence. DeepMyst picks the right frontend, attaches the right knowledge, and applies your policy.
  • Run on any model. One OpenAI-compatible API across 500+ models. Swap providers with a config flip — your code never changes.
  • Govern once, everywhere. Identity, policy, security, and audit are inherited by every request. Set the rules at the top; they cascade down and can only tighten.
  • Scale efficiently. Every prompt is losslessly compressed and routed to the model that does the job best — millions of runs, not millions in spend.

Built like infrastructure

Every agent runs on the same six-layer stack. A request inherits identity from the bottom and policy from above, so the stack that runs your first agent runs every agent.

Shell — how humans use it

Chat, copilot, embeds, and public portals. The surfaces people actually touch.

Agents — first-class processes

Voice, canvas, document, workflow, kanban, form, and a dozen other shapes.

Memory — what agents know

Knowledge graph, documents, datasources, and history every agent reads from.

Skills — what agents can do

Built-in tools, MCP servers, web search, and sub-agents.

Models — what powers their thinking

500+ models behind one OpenAI-compatible API, with automatic failover.

Governance — the rules everything inherits

SSO, RBAC, cascading policy, inline KYT security, and audit logged forever.
See the full architecture for how a request flows through the stack.

What you can build

Every department, every workflow. A single sentence in the builder becomes a working agent with the right interface for the job.

Engineering

Bug triage on a severity board, PR reviewers against your style guide, structured postmortem intake.

Growth

Real-time sales call coaching, brand studios in your voice, pitch decks from a one-line brief.

Operations

Contract reviewers that cite your procurement policy, onboarding buddies, multi-step vendor intake.

Leadership

Metrics briefs on warehouse data, working financial models, bespoke strategy copilots.
Explore the Agent Builder to see the agent types and how they ship.

Production-grade by default

Agents built in a sentence still behave like production software:

Evaluated

Every output is scored against your rubric before it reaches anyone.

Governed

KYT scans every request in under 15ms for injection, PII, and toxicity.

Audited

Every run is logged forever and replayable on demand.

Next steps

Agent Builder

Build agents in human language and ship them to every department.

Governance

Set policy, security, and access rules that follow every request.

The OS Stack

See how the six layers fit together into one platform.