Eclaire

Eclaire

Open-source, local-first AI assistant for tasks, notes, docs, photos, and bookmarks.

74/100Safe BetFreeFree

Eclaire is a strong privacy-first alternative to cloud AI tools like Notion AI or Mem, but it's best suited for technically adept users willing to self-host. Its support for multiple open-source models (Qwen, DeepSeek, Llama) and unified data management is compelling. The lack of a hosted option and native mobile apps limits mainstream appeal. Recent updates (v0.6.0 with single-container deployment) lower the setup barrier, but you still need to manage your own hardware and models.

Verified 1d ago · liveness 74/100 · cite: rightaichoice.com/tools/eclaire

Best for
  • Privacy-conscious individuals wanting a local AI assistant for personal productivity
  • Developers and tinkerers who prefer self-hosted, open-source tools
  • Small teams needing a private alternative to cloud AI productivity suites
  • Organizations requiring data sovereignty and on-premise AI deployment
Not ideal for
  • Users who need a hosted, plug-and-play AI assistant without self-hosting
  • Those reliant on proprietary models like GPT-4 or Claude (not supported locally)
  • Non-technical users uncomfortable with Docker, GPUs, and local setup
Visit Website

IntermediateFor a developer comfortable with Docker and GPUs: initial deployment takes 30-60 minutes (docker pull, configure .env, start services). Installing and switching AI models adds another 10-30 minutes depending on download size. For non-technical users, expect 2-4 hours if guided by tutorials. The v0.6.0 single-container deployment simplifies this significantly.Web · MobileAPI availableVerified 1d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Intermediate
For a developer comfortable with Docker and GPUs: initial deployment takes 30-60 minutes (docker pull, configure .env, start services). Installing and switching AI models adds another 10-30 minutes depending on download size. For non-technical users, expect 2-4 hours if guided by tutorials. The v0.6.0 single-container deployment simplifies this significantly.
Runs on
WebMobile
API available · 4 integrations
Who it's for
Privacy-conscious freelancerSmall team leadDeveloper tinkerer
Live sentiment
Is Eclaire actually worth it?

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Eclaire if you want a plug-and-play cloud AI assistant, rely on proprietary models like GPT-4, or aren't comfortable self-hosting with Docker and managing AI models on your own hardware.

The 30-second take
Biggest gripe

You must supply your own hardware (Mac Mini/Studio M1+ or Linux/Windows with GPU); no free cloud tier exists.

Price reality

Eclaire is free and open-source; you only pay for your own hardware and electricity. This makes it extremely cost-effective for privacy-focused individuals compared to cloud subscriptions like Notion AI ($10/mo) or Mem ($14.99/mo). However, the total cost of ownership (hardware, time for setup) may exceed a cloud subscription for non-technical users. For organizations needing support, business pricing is custom-quoted.

In short

Eclaire — Open-source, local-first AI assistant for tasks, notes, docs, photos, and bookmarks. Best for Privacy-conscious individuals wanting a local AI assistant for personal productivity, Developers and tinkerers who prefer self-hosted, open-source tools, Small teams needing a private alternative to cloud AI productivity suites. Free to use.

What's new in Eclaire

Checked yesterday

Across the latest 4 updates: 2 feature updates, 1 launch and 1 changelog entry.

What people actually say about Eclaire — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

19 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 31, 2026.

40% positive60% critical
Recurring strengths
  • +Complete data privacy – all processing and storage on your own hardware.
  • +Unifies tasks, notes, documents, photos, and bookmarks in one dashboard.
  • +Supports open-source models like Qwen, Gemma, DeepSeek, Kimi, Llama.
  • +Extensible via APIs, Apple Shortcuts, Android intents, and share sheets.
  • +PWA support for mobile access without a native app.
Recurring frustrations
  • Setup is confusing – missing default credentials block initial login.
  • Small community – only 890 GitHub stars, limited support resources.
  • Self-hosting requires significant technical skill and infrastructure.
  • Documentation is sparse, especially for troubleshooting common issues.
  • No native mobile apps – relies on PWA and share sheets.
Patterns worth knowing
Privacy-first design is a key selling point for users tired of cloud-based AI.
Seen on Hacker News, GitHub
Setup and onboarding are major pain points due to missing documentation and credentials.
Seen on GitHub
The project is still early-stage, with low community engagement and limited visibility.
Seen on Hacker News, GitHub
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • Infrastructure costs for running own server (electricity, hosting, hardware)
  • Time investment for setup, maintenance, and troubleshooting

Viability Score

74/100
Safe Bet

How well maintained and how widely used is Eclaire? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

momentum
90
traction
100
site health
95
user sentiment
40
product substance
40

Last calculated: July 2026

How we score →

Key Features

  • AI-powered Q&A and summarization across all data
  • Task management with due dates, recurrence, and AI automation
  • Note creation with rich text and Markdown, AI-assisted organization
  • Bookmark fetching with offline reading and PDF conversion
  • Document support: PDF, DOCX, XLSX, HTML, PPT, Numbers, and more
  • Full-text search across document library
  • Photo auto-tagging, categorization, and object detection
  • OCR for text extraction from images
  • Apple Shortcuts integration
  • Android intents support
  • REST API for custom integrations and extensibility
  • Supports open-source models (Qwen, Gemma, DeepSeek, Kimi, Llama) via Hugging Face
  • Self-hosted on own infrastructure, local-first processing and storage
  • Native Apple Silicon support (MLX-LM, MLX-VLM, LM Studio) as of v0.4.0
  • Single-container deployment (v0.6.0) with optional Redis and SQLite

About Eclaire

FreeIntermediateAPI availableWeb · Mobile

Eclaire is an open-source, local-first AI assistant that unifies tasks, notes, documents, photos, and bookmarks into a single private workspace. It runs entirely on your own hardware (Mac Mini/Studio M1+, Linux/Windows with GPUs) using local AI models like Qwen, Gemma, DeepSeek, Kimi, and Llama. Features include AI-powered Q&A, summarization, OCR, object detection, full-text search, bookmark fetching with offline reading, and task management with automation. Integrates via Apple Shortcuts, Android intents, and REST API. In 2025-2026, it added native Apple Silicon support (MLX), single-container deployment, and official Docker images. No hosted cloud version exists; you self-host. Ideal for privacy-conscious individuals, developers, and organizations that need data sovereignty.

Behind the Verdict

Eclaire excels at giving you full control over your data and AI processing. It's a solid choice if you're privacy-obsessed, want to avoid cloud dependencies, or need to comply with data sovereignty rules. The unified workspace (tasks, notes, bookmarks, documents, photos) with local AI for OCR, tagging, and summarization is genuinely useful. Recent updates like native Apple Silicon support (v0.4.0) and single-container deployment (v0.6.0) make it easier to run on a Mac Mini. However, you need to be comfortable with Docker, model downloads, and hardware provisioning. There's no native mobile app (only PWA), no hosted version, and the AI quality depends on which open-source model you choose. Business features (custom models, private cloud, dedicated support) are available but require contacting the team. If you want a plug-and-play AI assistant, look at alternatives like Notion AI or Mem.

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Real-world workflow fit

Concrete scenarios for the personas Eclaire actually fits — and what changes day-one when you adopt it.

Privacy-conscious freelancer

You want to keep all your notes, documents, and bookmarks private while using AI to summarize articles and answer questions. You install Eclaire on a Mac Mini, import your PDFs and web bookmarks, and start asking the AI questions about your content.

Outcome: Your data stays local; you get AI-powered search and summarization without any cloud exposure.

Small team lead

Your team needs a shared, private knowledge base with AI-powered tagging and OCR for scanned documents. You deploy Eclaire on a Linux server with a GPU, add team members, and set up Telegram notifications for task updates.

Outcome: All team data is self-hosted; members use the PWA on mobile to access and search the knowledge base.

Developer tinkerer

You want to experiment with different open-source LLMs (Qwen, DeepSeek, Llama) for document analysis and OCR. You run Eclaire on a Windows machine with a GPU, switch models via the UI, and build custom integrations using the REST API.

Outcome: You can compare model performance on your own data and extend Eclaire to fit your workflow.

Use Cases

Models Under the Hood

QwenGemmaDeepSeekKimiLlamaQwen3-VL

as of 2026-07-31

Limitations

  • Eclaire's reliance on local processing requires you to provision your own hardware and manage model downloads.
  • No mobile native apps (only PWA).
  • The lack of a hosted option means no cloud fallback.
  • Business features require contacting the team.
  • AI quality varies based on the open-source model you choose; you may need a GPU for larger models.
  • No direct integrations with popular SaaS tools like Slack, Google Drive, or Notion beyond the REST API.

as of 2026-07-31

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • You must supply your own hardware (Mac Mini/Studio M1+ or Linux/Windows with GPU); no free cloud tier exists.
  • Running larger AI models may require a dedicated GPU, adding to hardware cost and electricity usage.
  • Model downloads from Hugging Face can consume significant bandwidth and storage; some models are several GB.
  • Business features like custom-trained models and private cloud deployment require contacting the team for pricing; no self-serve option is available.

Where the pricing makes sense

The company stage and team size where Eclaire's pricing actually pencils out — and where peers do it cheaper.

Eclaire is free and open-source; you only pay for your own hardware and electricity. This makes it extremely cost-effective for privacy-focused individuals compared to cloud subscriptions like Notion AI ($10/mo) or Mem ($14.99/mo). However, the total cost of ownership (hardware, time for setup) may exceed a cloud subscription for non-technical users. For organizations needing support, business pricing is custom-quoted.

Setup time & first value

How long it actually takes to get something useful out of Eclaire — broken out by persona, not the marketing-page minute.

For a developer comfortable with Docker and GPUs: initial deployment takes 30-60 minutes (docker pull, configure .env, start services). Installing and switching AI models adds another 10-30 minutes depending on download size. For non-technical users, expect 2-4 hours if guided by tutorials. The v0.6.0 single-container deployment simplifies this significantly.

Switching to or from Eclaire

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Notion: Export your notes/documents as Markdown or CSV, then import via Eclaire's upload tools or API.
  • From Mem: Export your notes as Markdown, then upload to Eclaire's note section or use the API.
Migrating out
  • To Notion: Export your notes and documents from Eclaire via API or manual download, then import into Notion.
  • To Obsidian: Export note files from Eclaire (Markdown format) and import into your Obsidian vault.

Integrations

Apple ShortcutsAndroid intentsHugging FaceTelegram (notifications and chat)

Resources & Guides

Tools that pair well with Eclaire

Common stack mates teams adopt alongside Eclaire, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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