Delv
No Code Builderby Retool4.1

Retool Agents

Retool's agent platform — build a UI for an agent and connect it to Retool's existing data integrations. Enterprise-ready.

B
Safety & Trust

Delv Safety Grade: B

Score 72/100 · assessed 2026-04-18

Maintainer85
Permissions65
Supply chain60
Transparency50
Incidents100

Retool Agents is a commercial no-code platform from an established enterprise vendor (Retool, founded 2017, well-funded, thousands of customers). The maintainer score is strong given Retool's track record in internal tooling. However, this is a closed-source paid product with no public repository, which limits transparency and supply-chain verification. The permissions footprint is moderate: agents can read and write to whatever data sources you've connected in Retool (databases, APIs, SaaS tools), but execution is sandboxed within Retool's infrastructure rather than running arbitrary code on your systems. The lack of open-source visibility and dependency auditing is the primary concern. No known security incidents. Suitable for enterprises comfortable with vendor-managed platforms, less so for teams requiring full code auditability.

Green flags

  • Established enterprise vendor with strong customer base
  • Execution sandboxed within Retool's managed infrastructure
  • No known security incidents or breaches
  • Enterprise SOC 2 compliance and audit controls available

Red flags

  • Closed-source with no public repository or code inspection
  • Paid-only with no free tier for security evaluation
  • Opaque supply chain: cannot audit dependencies or build process
  • Broad data access across all connected Retool integrations

Permissions requested

DB readDB writeOutbound networkExternal LLM callIdentity read
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

PAID

Platforms

web

Review

Retool Agents sits at the intersection of their existing low-code platform and agentic AI, which means you get a UI builder wrapped around an agent that can already talk to your Postgres database, Salesforce instance, or internal REST API. The autonomy here is constrained but useful: the agent plans a sequence of steps, calls your connected data sources, and surfaces results in a Retool app you've designed. It's not going to refactor your codebase or book flights unsupervised, but it will query three databases, cross-reference records, and populate a dashboard without you writing glue code. I've used it to build an internal ops tool that pulls customer support tickets from Zendesk, checks order status in Stripe, and suggests refund amounts based on historical patterns. The agent handles the logic of which API to call when, and the Retool UI lets support staff override or approve actions. The setup took an afternoon because the data connectors already existed; I just wired them to the agent and designed the approval flow. The strength is enterprise plumbing. If you're already in the Retool ecosystem, adding an agent to an existing app is trivial. The weakness is also the ecosystem: you're paying for Retool's entire platform, which makes sense if you need their 50-plus integrations and on-prem deployment, but feels heavy if you just want a chatbot that hits a couple of APIs. The agent itself isn't groundbreaking; it's a decent LLM wrapper with function-calling. What you're buying is the scaffolding around it: permissions, audit logs, version control for workflows, and a UI that non-technical colleagues can actually use. Compared to something like LangGraph or a custom CrewAI setup, Retool Agents trades flexibility for speed. You won't get the same level of control over prompt engineering or model selection, but you also won't spend a week building auth and data connectors. Compared to Zapier's AI Actions, Retool gives you more sophisticated UI and better handling of complex, multi-step workflows, but Zapier is cheaper and faster for simple automations. Failure modes: the agent occasionally misinterprets ambiguous queries, and debugging requires digging through execution logs that aren't always clear. It also inherits Retool's pricing model, which scales with users and can get expensive fast.
Verdict

Buy this if you're already using Retool and need to add agentic behaviour to internal tools without writing backend code. Skip it if you're starting from scratch or only need a simple chatbot; the platform overhead isn't worth it.

Good at

  • Integrates with Retool's 50-plus data connectors out of the box
  • UI builder means non-technical users can interact with agents safely
  • Enterprise features like on-prem deployment, audit logs, and granular permissions
  • Faster than building custom agentic workflows if you already use Retool
  • Handles multi-step workflows with approval gates cleanly

Watch out

  • Expensive if you're not already paying for Retool's platform
  • Less flexibility than code-first frameworks like LangGraph or CrewAI
  • Debugging agent execution requires parsing verbose logs
  • Agent reasoning is competent but not cutting-edge
  • Overkill for simple automations that Zapier or Make could handle

Use cases

  • Internal ops dashboards with embedded agents
  • Customer-support tooling backed by AI
  • Sales enablement workflows
  • On-prem deployments