BenchRank
#36 in Automation & WorkflowUpdated 2026-08

Tiledesk

by Tiledesk · Open-source no-code platform for building and deploying AI agents

BenchRank score

33.5 — BenchRank score out of 100

Screenshots of Tiledesk

Homepage · Tiledesk

Homepage of Tiledesk

Overview

Tiledesk is an open-source platform for building AI agents that handle conversations and automations without code. Agents are assembled in a visual flow builder from prompt chains, MCP tools and knowledge bases with hybrid full-text and semantic search, then published to web, WhatsApp, voice, SMS, email and Messenger. Conversations can be escalated to human agents with full context.

Best for
Support and operations teams building no-code AI agents for web, WhatsApp, voice and email
Pricing
The captured text shows no prices; it advertises a 14-day free trial with no credit card required, alongside an open-source self-hosted option.
Runs on
AndroidSelf-hosted

Strengths and trade-offs

Strengths

  • Open source; deploy on-prem with local LLMs such as LLAMA or Mistral
  • No-code flow builder for prompt chains and multiple specialised agents
  • Channels include web, WhatsApp, voice, SMS, email and Messenger
  • Escalation to human agents with context, plus a copilot for agents

Trade-offs

  • Self-hosting means running vector store, LLM and MQTT stack yourself
  • No prices published on the captured page; several paths lead to a demo
  • WhatsApp and Shopify features depend on separate third-party accounts
  • Scope spans support, email, retail and scheduling rather than one job

How Tiledesk markets itself

A structured read of the promise, proof and page design on Tiledesk’s captured homepage.

Homepage capture

“Your Agentic AI Operating System”

  • Angle: AI-native
  • Hero: Product screenshot

Pricing

Published plans and prices from Tiledesk’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Tiledesk pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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