DeepStructure

What is DeepStructure?

DeepStructure is a developer platform for running AI applications in TypeScript. You write workflows with familiar TypeScript code, and the platform runs them durably, with a Postgres database and blob storage included. Named agents can be composed from workflows, function tools, MCP servers and retrievers, and they use models from the major providers. Prebuilt connectors link data sources and chat interfaces such as Google Drive and Slack, and reactive events re-run workflows when source files change. It offers an Assistants-style API, a TypeScript SDK, a CLI, a local development environment and CI/CD, plus dashboards to trace each workflow run and a feedback system that collects usage data. Applications run in DeepStructure Cloud, with an option to self-host in your own VPC. The Team plan is $99 / Month after a two-week trial; Startup and Enterprise plans are arranged by email.

Use cases

• Build durable TypeScript AI workflows
• Run MCP-enabled agents with a Slack interface
• Keep RAG indexes in sync with Google Drive
• Add question answering over company documents
• Collect feedback to tune AI features
• Automate incident-response runbooks

Who it's for

• TypeScript developers
• AI product teams
• Startups building AI features
• Enterprise engineering teams

Why use DeepStructure

• Workflow state, a Postgres database and blob storage come with the platform, so there is less infrastructure to assemble.
• Connectors re-run workflows when files or messages change, keeping agent knowledge current.
• Run traces and data-flow views make it easier to see why a workflow produced a result.
• You can deploy to DeepStructure Cloud or self-host in your own VPC.

DeepStructure features

• Durable execution of TypeScript workflows for generative AI workloads
• Managed Postgres database and blob storage
• Assistants-style API with vector stores, RAG and function calling handled for you
• Agents that combine workflows, function tools, MCP servers and retrievers
• Prebuilt data sources and interfaces such as Google Drive and Slack
• Reactive Event Log that triggers workflows when source data changes
• Dashboard, workflow run and component data-flow views for debugging
• Built-in feedback system that collects usage data
• TypeScript SDK, CLI, local dev environment and CI/CD
• Option to self-host in your own VPC

DeepStructure integrations

• Google Drive
• Slack
• Telegram
• GitHub
• Notion
• Grafana MCP server
• S3
• OpenAI Assistants API

How to get started with DeepStructure

1. Create an app with the create-deepstructure-app command and install the CLI.
2. Write workflows, tools and agents in TypeScript, and connect data sources such as Google Drive.
3. Authorize access, set environment variables and secrets, then deploy with the ds CLI.
4. Talk to the agent through Slack, HTTP, the Assistants API or other interfaces and monitor runs in the console.

DeepStructure limitations

• Pricing for self-hosting, Startup and Enterprise plans is arranged by email
• Workflows are written in TypeScript rather than a visual builder

DeepStructure pricing

DeepStructure has no free plan, but it offers a free trial. Paid plans start at $99 per month, according to the official pricing page on 24 Oct 2026.

DeepStructure plans

• Team

  $99 /Month

  after a two-week trial

  • AI infrastructure as an API
  • Postgres database and blob storage
  • TypeScript workflows
  • Prebuilt data sources and human interfaces
  • Reference apps and observability
  • Application, team and token management

• Startup

  Custom

  contact for a discount

  • All Team benefits
  • Option to self-host
  • White-glove onboarding
  • Advanced support

• Enterprise

  Custom

  contact the vendor

  • All Team benefits
  • Option to self-host
  • White-glove onboarding
  • Advanced support
  • Professional services available

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

DeepStructure alternatives

The main DeepStructure alternatives listed on Debuly are Inngest, LangGraph, Braintrust, Agentset, Baseplate and CrewAI. The table compares pricing and platforms; order is A–Z.

1. 

   Agentset

   RAG-as-a-service for developers: ingest documents, run agentic search and build chat with citations through an API and SDKs.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Agentset (official site)
2. Ba

   Baseplate

   Backend for LLM apps: a hybrid database for data and embeddings, search, an app builder and API endpoints

   Developer platformsAutomation and agents
   FreemiumVisit Baseplate (official site)
3. 

   Braintrust

   AI observability and evaluation platform for tracing LLM apps and agents, scoring outputs and catching regressions before release.

   Developer platformsCoding
   FreemiumVisit Braintrust (official site)
4. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
5. 

   Inngest

   Open-source SDK and cloud for durable background jobs, event-driven workflows and AI agents without queue infrastructure.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Inngest (official site)
6. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)

DeepStructure FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from framerusercontent.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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