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title Agent Builder
description Build AI agents in human language and ship them to every department

Agents are first-class processes on DeepMyst. You describe what you want in plain language; DeepMyst picks the right frontend, attaches the right knowledge, and applies your policy. The result is a working agent with a shareable URL — built in a sentence, reliable in production, and audited forever.

Build an agent in a sentence

Open the Agent Builder, describe the job, and click Build agent. DeepMyst:

  1. Reads your request to understand the task and the people who'll use it
  2. Picks the right frontend — chat, voice, document, workflow, and more
  3. Wires in knowledge — handbooks, documents, datasources, and tools the agent needs
  4. Applies your policy — the same governance every request inherits

For example:

"As I type a vendor contract, review each clause against our procurement policy, flag risky language, and propose redlines."

becomes a Document agent that reviews clauses in real time, cites your procurement policy on every flag, and proposes redlines as suggestions — never auto-applying them.

You can keep refining in the full builder: attach more knowledge, change the frontend, set policy, and choose how the agent is published.

Agent types

Every agent gets the interface that fits the work. DeepMyst ships a catalog of frontends, each a first-class agent shape:

Frontend Best for
Chat Q&A, copilots, onboarding buddies
Voice Real-time call coaching and hands-free assistants
Document Track-changes review, drafting, structured briefs
Workflow Multi-step, scheduled, or triggered automations
Kanban Triage and classification onto a board
Form Structured intake that drafts an artifact at the end
Wizard Multi-step vetting and guided processes
Code Editor Diff review against a style guide
Spreadsheet Working models that watch assumptions and flag anomalies
Dashboard Quick actions and briefs on warehouse data
Image Studio Posters and social posts in your brand voice
Presentation Slide decks from a one-line brief
Custom App Bespoke UI for memos, board decks, and OKRs

What every agent gets

No matter the frontend, every agent runs on the same stack and inherits the same capabilities:

A knowledge graph, documents, connected datasources, and run history. The persistent layer every agent reads from. Built-in tools, MCP servers, web search, and sub-agents. Bring your own or use the library. Any of 500+ models behind one API, with optimization, routing, and automatic failover. Identity, cascading policy, and inline security applied to every run — never bolted on after.

See the OS stack for how these layers fit together.

Every department, every workflow

A single platform produces the right agent for any team:

**Bug Triage** (Kanban) auto-classifies alerts onto a severity board. **PR Reviewer** (Code Editor) reviews diffs against your style guide. **Postmortem Intake** (Form) drafts the postmortem from structured input. **Sales Coach** (Voice) coaches calls in real time and logs to your CRM. **Brand Studio** (Image Studio) creates posts in your brand voice. **Pitch Deck** (Presentation) builds decks from a one-line brief. **Contract Reviewer** (Document) redlines against your procurement policy. **Onboarding Buddy** (Chat) points new hires to tools, docs, and people. **Vendor Intake** (Wizard) vets vendors and drafts the DPA. **Metrics Brief** (Dashboard) acts on warehouse data. **Financial Model** (Spreadsheet) maintains a working model and flags anomalies. **Strategy Copilot** (Custom App) handles memos, board decks, and OKRs.

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
  • RBAC-aware — responses are scoped to the role of the person using the agent
  • Replayable — every run is logged forever and can be replayed on demand
  • Observable — inputs, outputs, latency, tokens, and scores are recorded per run

Skills and tools

Agents do more than answer. Through skills, they take action:

  • Built-in tools for common operations
  • MCP servers — connect any Model Context Protocol server for tool use
  • Web search for live information
  • Sub-agents — agents that call other agents to break down complex work
  • Datasources — query Postgres, ClickHouse, Snowflake, and more

Deployment

When an agent is ready, publish it the way your team will actually use it:

  • Shareable URL at your-org.deepmyst.app/agents/...
  • Embed it into an existing product or internal tool
  • Public portal for external-facing agents
  • Visibility scopes — organization, department, specific members, or projects

Build a whole company

**Company Builder** is in private preview for design partners. [Get in touch](mailto:Sharif@deepmyst.com?subject=DeepMyst%20Company%20Builder%20-%20design%20partner) to join.

Instead of building one agent at a time, you can build an entire AI-native company in one job. Pick an industry, answer five questions, and DeepMyst:

  • Interviews your founder in human language
  • Designs departments and teams, flat or hierarchical
  • Curates an agent catalog with rationale and consolidation logic — consolidated, not bloated
  • Builds everything atomically — folders, tags, knowledge bases, and policies — into a working workspace

Next steps

Set the policy, security, and access rules every agent inherits See how agents, memory, skills, models, and governance fit together