BenchRank
#12 in Chat AssistantsUpdated 2026-08

FastGPT

by FastGPT · Open-source builder for AI agents with a retrieval knowledge base

BenchRank score

55.4 — BenchRank score out of 100

Screenshots of FastGPT

Homepage · FastGPT

Homepage of FastGPT

Overview

FastGPT is an open-source platform for building AI agents from a visual workflow builder, with a knowledge base that uses hybrid retrieval over imported documents. It can integrate different models, with debugging and auditing for compliance, and supports SSO and RBAC. It is offered as a cloud service or self-hosted.

Best for
Enterprise teams building internal AI agents over their own documents, cloud or self-hosted
Pricing
No prices are shown in the captured text; the site links to a pricing page and a Contact Sales route, and describes the platform as open source.
Runs on
Self-hosted

Strengths and trade-offs

Strengths

  • Open source, with cloud and self-hosted deployment options
  • Visual workflow builder plus APIs for embedding agents
  • Knowledge base with hybrid retrieval over imported documents
  • SSO and RBAC for enterprise access control

Trade-offs

  • No pricing shown; enterprise route is Contact Sales
  • Commercial use of the open-source build is an unanswered FAQ item
  • Consulting, rollout and customisation are sold as separate services
  • Community support runs through WeChat and Feishu groups

How FastGPT markets itself

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

Homepage capture

“Enterprise AI Productivity Engine”

  • Angle: AI-native
  • Hero: Product screenshot

Pricing

Published plans and prices from FastGPT’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.

  • 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.

This doesn’t look right — report a problem with FastGPT’s score

Where this comes from

The FastGPT 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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