Top 7 Alice Competitors & Alternatives in 2026
Updated onFind more companies/brands/products like Alice. We've shortlisted leading alternatives and mapped their strengths, pricing, and go-to-market focus.
Alice
A local-first, cross-platform desktop AI assistant that combines multiple LLMs, a community assistant library, keyboard shortcuts, and no-code automations (Zapier/Make) into a single productivity app.
Starts at $149
Competitors
#1Est. 2020 • 51-200 employees • PrivateRaycast
Best for power usersKeyboard-first productivity command bar for developers with clipboard history, snippets, extensions and optional AI features.
Starts at $0
#2Chatbox (Chatbox AI)
Best for power usersCross-platform desktop AI client that supports multiple LLM providers, local data storage, BYO API keys and community-driven features for private, model-agnostic AI chats.
Starts at $0
#3Est. 2010 • 2-10 employees • PrivateAlfred
Best for power usersCustomizable macOS launcher and automation tool with a clipboard history and snippets (Powerpack paid upgrade).
Starts at $45 / other
#4Braina
Best for consumersWindows-focused virtual assistant offering voice control, dictation, local storage and integrations with cloud LLMs for desktop automation and hands-free workflows.
Starts at $0
Est. 2025 • 1 employee • PrivateChampSignal
Best for SMBsGet the insights your competitors don't want you to have. ChampSignal discovers, monitors, and analyzes your competitors. Like having a full-time competitive intelligence analyst.
Starts at $39 / month
Has a free trial
#5Est. 2018 • 11-50 employees • PrivatePipedream
Best for power usersDeveloper-first workflows and serverless integration platform that lets engineers forward events (including newsletter signups) server-side to APIs such as Meta's Conversions API.
Starts at $0 / month
#6Est. 2022 • 51-200 employees • PrivatePerplexity
Best for consumersAn AI-powered answer engine that delivers cited, research-backed responses and offers consumer and Pro/enterprise subscriptions.
Starts at $0
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10 Competitors Deep-Dived
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