Retool AI Agents

Build internal software better with AI. Create apps, agents, and workflows with any LLM, datasource, or API to deploy AI across your business. Retool is the application layer for AI and leading platform for internal software development, trusted by over 10,000 companies worldwide, including Amazon, Stripe, Brex, and Orangetheory Fitness. Using Retool, developers deploy sophisticated apps and agents dramatically faster without sacrificing quality or control, combining powerful building blocks with the flexibility of custom code. To learn more and start building for free today, visit https://retool.com

Agent Platform

Visit Website

Founded

2017

Location

San Francisco, CA

Employees

472

Funding

$141M

Retool AI Agents: Build, Run, and Govern AI Agents for Internal Workflows

Overview

**Retool AI Agents** is Retool’s agent builder for internal apps and operational workflows. It lets developers compose production-grade AI agents that use your data, tools, and policies to automate work across support, ops, finance, sales, IT, and analytics. Agents run inside the broader Retool platform, inheriting your existing queries, workflows, permissions, and audits—so you can connect to your stack quickly and keep control with code when needed.

Explore the product: [Retool AI](https://retool.com/ai) and [Retool Agents](https://retool.com/agents)

Documentation: [Agents Docs](https://docs.retool.com/agents/) and [Quickstart](https://docs.retool.com/agents/quickstart)

Under the hood, an agent:

Takes a task, reasons with an LLM, calls tools (Retool Workflows, REST/GraphQL APIs, DB queries, SaaS connectors, or other agents), gathers results, and iterates until the task is complete.

Uses guardrails and approvals you define, with full run monitoring and human-in-the-loop for sensitive actions.

Retool, the company behind Agents, is a developer platform for building internal software and the “application layer for AI,” with 10,000+ customers and HQ in San Francisco. Learn more on [LinkedIn](https://www.linkedin.com/company/tryretool). Notable customers referenced in Retool materials include teams at Amazon, Stripe, Brex, and Orangetheory.

Why Retool for AI Agents

Build once, then trigger agents from chat, apps, email, or workflows.

Reuse your existing Retool queries, components, and Workflows as agent tools.

Combine low-code speed with code-level control for edge cases and compliance.

Scale from a single task-focused agent (e.g., chargeback handling) to a fleet of specialized agents orchestrated by Workflows.

See the product pages: [AI Overview](https://retool.com/ai) and [Agents](https://retool.com/agents).

Key Capabilities

Agent execution: LLM reasoning + multi-tool action loops with iteration.

Triggers: Chat UI, email-to-agent, in-app Agent Chat component, or Workflows invocation.

Tooling: Retool Workflows, databases, REST/GraphQL APIs, SaaS connectors, custom tools, and other Retool agents.

Governance: Role-based permissions, action approvals, audit logs, and human-in-the-loop review.

Orchestration: Compose multiple narrow agents into end-to-end processes with Workflows.

Monitoring: Inspect runs, actions, and outputs to tune prompts and tools.

Learn more in the [Agents Docs](https://docs.retool.com/agents/) and [Quickstart](https://docs.retool.com/agents/quickstart).

Common Use Cases

Support operations: ticket triage and routing, summarization, reply drafting, account lookups.

Finance ops: chargeback investigation, invoice matching, payout reconciliation.

Sales ops: lead enrichment, prospect research, follow-ups, CRM hygiene.

IT and back office: access requests, account provisioning, policy checks.

Data and analytics: automated reports, dashboard QA, ad hoc analysis.

Research and content: briefs, document generation, review orchestration.

Integrations and Data Connectivity

Databases: Postgres, MySQL, Snowflake, BigQuery, MongoDB, Redshift.

APIs and services: REST, GraphQL, webhooks, code execution tools.

SaaS: Salesforce, Zendesk, Slack, Google Workspace, Stripe, Twilio, AWS services, Google Sheets.

Retool-native: Queries, Workflows, Storage, and other Agents as callable tools.

Connector coverage: [Product Overview](https://retool.com/ai) and [Agents Docs](https://docs.retool.com/agents/).

Governance, Security, and Control

Fine-grained permissions across apps, queries, and tools.

Action approvals for data writes, financial operations, and external communications.

Full auditability of agent runs and tool calls.

Human-in-the-loop checkpoints to keep sensitive steps supervised.

Who It’s For

Engineering and platform teams standardizing AI in business processes.

Operations leaders across Support Ops, RevOps, Finance Ops, IT, and Risk.

Data and analytics teams orchestrating data tasks with approvals.

Developers who want speed of low-code with code-level control when needed.

Getting Started

Start here: [Retool Agents](https://retool.com/agents)

Build fast with the [Agents Quickstart](https://docs.retool.com/agents/quickstart)

Explore architecture and patterns in the [Agents Docs](https://docs.retool.com/agents/)

Pricing and Trial

Retool offers a free way to start building on Retool Cloud. Agents are available on Retool Cloud with usage-based pricing. For current free allocations and plan details, see [Pricing](https://retool.com/pricing) and the [Agents page](https://retool.com/agents).

Customer and Community Sentiment

Pros

Fast to build and ship internal tools agents can reuse as tools. See [G2 Reviews](https://www.g2.com/products/retool/reviews).

Strong integrations and connectivity across APIs and deployment options. See [G2 Comparisons](https://www.g2.com/compare/appsmith-vs-retool).

Balanced low-code plus code flexibility for complex workflows. See [G2 Reviews](https://www.g2.com/products/retool/reviews).

Proven for back office apps and operational dashboards. See this [Reddit thread](https://www.reddit.com/r/nocode/comments/13fbpx8/thoughts_on_using_retool_to_build_custom_software/).

Clear docs and examples for agentic patterns. See [Agents Docs](https://docs.retool.com/agents/) and [Quickstart](https://docs.retool.com/agents/quickstart).

Cons

Learning curve for non-developers; familiarity with JS and queries helps. See this [Reddit discussion](https://www.reddit.com/r/nocode/comments/nb5kx0/what_is_retool_and_why_should_you_care/).

Pricing at scale can be a concern for some teams. See this [comparison thread](https://www.reddit.com/r/selfhosted/comments/yvq6oj/appsmith_vs_retool_vs_budibase_or_something_else/).

Performance complaints in heavier apps for some setups. See this [performance thread](https://www.reddit.com/r/PromptEngineering/comments/1npnkgg/retool_slow_as_hell_ai_tools_lovable_spark_seem/).

UI customization limits for highly bespoke frontends. See this [UI limits thread](https://www.reddit.com/r/SaaS/comments/1cf8aml/who_worked_with_retool/).

Self-hosting parity for newest AI features may lag Retool Cloud. See [Agents Docs](https://docs.retool.com/agents/).

Additional peer review sources: [G2 Reviews](https://www.g2.com/products/retool/reviews), [Capterra Reviews](https://www.capterra.com/p/186115/Retool/reviews/), and the [r/Retool](https://www.reddit.com/r/Retool/) community.

Practical Implementation Tips

Start small: build narrow, outcome-driven agents. Use Workflows to orchestrate handoffs rather than one mega-agent.

Add approvals around data writes, financial actions, and outbound comms. Review early runs to refine prompts and tools.

Reuse your existing Retool queries/components to give agents battle-tested tools on day one; add custom tools as needed.

Monitor performance and latency per tool. Offload heavy steps into Workflows to enable caching or batching.

Company Snapshot

Company: Retool

Product line: Retool AI Agents

Focus: Apps, agents, and workflows for internal use cases—the “application layer for AI”

Footprint: 10,000+ customers; HQ in San Francisco (see [LinkedIn](https://www.linkedin.com/company/tryretool))

Helpful Links

Product overview: [Retool AI](https://retool.com/ai)

Agents product page: [Retool Agents](https://retool.com/agents)

Documentation: [Agents Docs](https://docs.retool.com/agents/) and [Quickstart](https://docs.retool.com/agents/quickstart)

Pricing: [Retool Pricing](https://retool.com/pricing)

Company profile: [Retool on LinkedIn](https://www.linkedin.com/company/tryretool)

Reviews: [G2](https://www.g2.com/products/retool/reviews), [Capterra](https://www.capterra.com/p/186115/Retool/reviews/)

If you’d like, I can propose a tailored implementation plan for one or two high-value agent use cases in your stack, mapping tools, data sources, and approval points.

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