BenchRank
#32 in Automation & WorkflowUpdated 2026-08

Leon

by Leon · Self-hosted open-source personal assistant built on Node.js and Python

BenchRank score

37.3 — BenchRank score out of 100

Screenshots of Leon

Homepage · Leon

Homepage of Leon

Overview

Leon is an open-source personal assistant that you host on your own server and ask to perform tasks. It is built with Node.js and Python and uses a modular architecture, so behaviour comes from skills you write or install. It supports text-to-speech and speech-to-text through cloud services including Google Cloud, AWS and IBM Watson, or offline engines.

Best for
Developers who want a self-hosted, open-source personal assistant they can extend with their own skills.
Pricing
No prices are shown; the software is released under the MIT licence and the site asks for GitHub sponsorship.
Runs on
CLI

Strengths and trade-offs

Strengths

  • MIT licensed and runs on a server you control
  • Modular skills architecture you can add to or build on
  • Several cloud and offline TTS and STT engines supported
  • Installed through a published CLI: npm i -g @leon-ai/cli

Trade-offs

  • You must supply and maintain the server it runs on
  • Setup is command line only; no hosted version is offered
  • Azure and Alibaba Cloud speech support are marked coming soon
  • Built largely by one maintainer in free time, funded by sponsorship

How Leon markets itself

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

Homepage capture

“Meet your virtual brain”

  • Angle: Open source / ownership
  • Hero: Illustration

Pricing

Published plans and prices from Leon’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 Leon 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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