383 results found

1. Add text-to-speech playback so users can listen to responses

   Summary:
   Add an option to have Lumo's responses read aloud using the text-to-speech engine that's already built into Android and iOS. No server-side synthesis required.

   The problem:
   Lumo offers voice input on mobile, but there's no way to listen to a response. Users have to stop and read every reply, which makes it awkward to use Lumo hands-free and excludes users who prefer or need audio in support of their individual impairments such as visual strain, dyslexia, and similar situations.

   Proposed solution:
   Rather than building a separate TTS pipeline, query the onboard text-to-speech engine that every Android and iPhone already ships with. Everything is processed locally on the device, so nothing additional ever leaves the phone or Proton's ecosystem.

   Suggested details:
   * A play button on responses (or per-message) that hands the text to the system TTS engine
   * Playback speed and voice selection, exposed natively by both OS APIs at no extra cost
   * Optionally, support for third-party TTS engines the user has installed, so users can pick higher-quality voices or other languages

   Why this fits Lumo:
   * Zero privacy trade-off: the text is already decrypted on-device to display it; reading it aloud changes nothing about the zero-access encryption model
   * No infrastructure cost: it's purely client-side, so it scales without adding server load or cost
   * Fits Proton's privacy-first positioning: vocal interaction without shipping user audio or text to a third-party speech cloud

   A small feature, but it meaningfully improves accessibility and everyday usability for anyone who prefers listening over reading.

   Summary:
   Add an option to have Lumo's responses read aloud using the text-to-speech engine that's already built into Android and iOS. No server-side synthesis required.

   The problem:
   Lumo offers voice input on mobile, but there's no way to listen to a response. Users have to stop and read every reply, which makes it awkward to use Lumo hands-free and excludes users who prefer or need audio in support of their individual impairments such as visual strain, dyslexia, and similar situations.

   Proposed solution:
   Rather than building a separate TTS pipeline, query the onboard text-to-speech engine that every Android and iPhone already… more

   4 votes

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2. Text size adjustments

   Implement an option in settings to make the text bigger in the mobile apps. Specifically IOS. Global text size adjustment has no affect on the Lumo application. Results are too small. Needs to be more clear like ChatGPT for example.

   5 votes

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3. Please add Biometric (fingerprint) unlock to Lumo

   Please add Biometric (fingerprint) unlock to Lumo (and Calendar), it and Calendar seem to be the only Proton apps that do not have this feature.

   25 votes

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4. In-Chat Search with Navigation (Next/Previous) & Highlighting

   While browser shortcuts like Ctrl+F can search the currently visible text, they lack integration and advanced features needed for long conversations. I request a dedicated "Search in this chat" function built directly into the Lumo interface.

   Specific requirements:

   A native search bar within the chat thread (not relying on browser tools).
   Typing a keyword jumps directly to the relevant message(s) within the current thread.
   Highlight all matches visually.
   Navigation controls: "Next" and "Previous" buttons to cycle through multiple matches efficiently.
   Ideally, a counter showing "Match X of Y".
   This is a critical usability feature for power users who treat Lumo as a long-term knowledge base (e.g., tracking pet health logs, creative drafts, or complex analyses). It would save immense time and frustration when retrieving specific details from extensive conversation histories.

   While browser shortcuts like Ctrl+F can search the currently visible text, they lack integration and advanced features needed for long conversations. I request a dedicated "Search in this chat" function built directly into the Lumo interface.

   Specific requirements:

   A native search bar within the chat thread (not relying on browser tools).
   Typing a keyword jumps directly to the relevant message(s) within the current thread.
   Highlight all matches visually.
   Navigation controls: "Next" and "Previous" buttons to cycle through multiple matches efficiently.
   Ideally, a counter showing "Match X of Y".
   This is a critical usability feature for power users who treat Lumo… more

   5 votes

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5. Enable Lumo to run locally

   Enable to run Lumo models locally on a computer or laptop, this would enable users to better handle private information, increace speeds (by not needing to have the data travel across the internet continuously) and reduce load on Proton servers.
   This could happen with a standalone app or integrating it with other systems such as LM Studio or Msty Studio

   12 votes

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6. Write permissions for Lumo to share infos between projects

   I’ve created several projects in which I work on different topics using specialized Lumos.

   I also have a general chat outside of the projects that I use for general questions, journals, small talk, or brainstorming. However, this general Lumo doesn’t know what’s going on in the projects because they’re isolated from one another.
   While brainstorming, I had the idea that it would be really handy if Lumo had a dedicated folder with write access in Drive where it could create files to share with the projects. For example, summaries when a project is successfully completed or updates on its current status.

   This way, you could create a Project Manager Lumo that can communicate with the project-specific Lumos via the files it creates in this directory and vice versa.

   You could then simply brainstorm with your Project Manager Lumo, create to-do lists, and discuss ideas that the specialized Lumos in the projects could pick up on directly, without having to explain them again and they could write summaries for the project manager, when a project is finished.

   I’ve created several projects in which I work on different topics using specialized Lumos.

   I also have a general chat outside of the projects that I use for general questions, journals, small talk, or brainstorming. However, this general Lumo doesn’t know what’s going on in the projects because they’re isolated from one another.
   While brainstorming, I had the idea that it would be really handy if Lumo had a dedicated folder with write access in Drive where it could create files to share with the projects. For example, summaries when a project is successfully completed or updates on its current… more

   4 votes

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7. Chat Branching

   Google's Gemini lets you create a branch off of any of the LLM's responses. This allows you to take the conversation in multiple different directions.

   Gemini just creates a new chat for each branch, but I would appreciate if Lumo made the branch chats a child of the original chat for organizational purposes.

   6 votes

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8. 🤖 Autonomous Project Builder with Local File System Access

   🤖 Autonomous Project Builder with Local File System Access

   Summary

   Transform Lumo from a code-writing assistant into an autonomous project builder that can read, write, organize, and execute code directly on user's local filesystem with proper security controls.

   Problem Statement

   Current AI coding assistants (including current Lumo) operate in a "chat-only" paradigm:
   - User: "Build a Flask API with authentication"
   - Lumo: Returns code blocks in chat
   - User: Manually copies files, creates directories, runs tests, configures environment
   - Result: Friction, human error, context drift, repetitive work

   Real engineering work requires:
   1. Creating directory structures
   2. Writing multiple files with correct paths
   3. Running commands/tests locally
   4. Debugging errors from actual execution
   5. Iterating based on real runtime behavior

   Without file system integration, Lumo cannot close the loop from "design" to "deployed working code."

   Proposed Solution

   Core Capability: Secure Local Workspace Access

   Mode 1: Read-Only Analysis (always enabled)
   - Analyze existing project structure
   - Identify dependencies, bugs, gaps
   - Suggest improvements with precise file locations

   Mode 2: Controlled Write Access (opt-in, sandboxed)

   User Permission Required For: ├── Creating new files/folders ├── Modifying existing files ├── Running shell commands (explicit allowlist) ├── Installing packages (npm/pip/cargo with review) └── Committing to Git (preview before commit)

   Mode 3: Autonomous Execution (advanced, explicit opt-in)
   - Lumo builds complete features end-to-end
   - Runs tests automatically
   - Fixes errors without waiting for approval (within defined scope)
   - Reports back: "Built X, ran Y tests, Z passed, here's the diff"

   Security Model (Privacy-First Design)

   Security_Guardrails:
     - Scope_Limit: Only access explicitly designated workspace folders
     - Command_Allowlist: Pre-approved commands (git, pytest, npm test, etc.)
     - Network_Isolation: No outbound calls without user approval
     - Audit_Log: Every action logged with diff preview before/after
     - Rollback: Atomic writes + version history (undo any change)
     - E2EE: All local data encrypted at rest
   User Interface Patterns
   
   Pattern A: Sidebar Integration
   [Lumo Chat] | [Project Explorer] | [Terminal Output]
   ────────────│─────────────────│──────────────────
   Code dialog │ Files Lumo touched│ Live command output
               │ (read-only view) │ (with error highlighting)
   
   Pattern B: Progress Tracking
   Building Adrenalina Prime Module:
   ✓ Created /src/core/metrics_collector.py
   ✓ Created /src/core/energy_engine.py
   ✓ Generated tests (87% coverage)
   ⏳ Running pytest...
   ✗ Fixing failure in test_crossbot_consensus.py
   ✓ All tests passing (92%)
   → Ready to deploy? [Yes/Review Changes]
   Example Workflow Comparison
   Traditional Chat    With Local File Access
   Paste code → copy to files    Lumo writes files directly
   Manual env setup    pip install -r requirements.txt (auto)
   Run tests manually  Tests auto-run after each change
   Find bug in console Lumo reads error, fixes code, re-tests
   Git commit manually Diff preview → one-click commit
   User Stories
   
       "As a solo developer, I want Lumo to scaffold my entire project structure so I don't waste hours on boilerplate."
   
       "As a senior engineer, I want Lumo to fix failing tests autonomously within my project folder so iteration speed is faster."
   
       "As a privacy-conscious user, I want to define exact folder boundaries Lumo can touch and see every change before it's applied."
   
       "As a team member, I want Lumo to review my git diff and explain why each file changed."
   
   Technical Requirements
   Backend Infrastructure
   
       Local agent process (runs on user machine, not cloud)
       File system watchers for real-time sync
       Sandbox container for untrusted operations
       SQLite/encrypted store for version history
   
   Integration Points
   Existing Lumo Features          New Requirements
   ────────────────────           ──────────────────
   Persistent Memory        →     Project-scoped workspace binding
   File Upload              →     Bidirectional file sync
   Custom Lumos             →     Role-based permission profiles
   Web Search               →     Package registry lookups (local)
   API Contract Example
   class LumoWorkspace:
       def list_files(self, path: str) -> List[str]:  # Read
       def read_file(self, path: str) -> str:         # Read
       def write_file(self, path: str, content: str) -> bool:  # Needs approval
       def run_command(self, cmd: str) -> CommandResult:       # Allowlist only
       def get_diff(self, path: str) -> str:                  # Preview
   Success Metrics
   Metric  Target
   Time-to-working-code (vs manual)    >70% reduction
   Session-to-deployment cycle time    <15 minutes for small features
   User trust (permission acceptance rate) >80% opt-in within 6 months
   Error resolution speed  3x faster than manual debugging
   Risks & Mitigations
   Risk    Severity    Mitigation
   Malicious prompt injection writing arbitrary files  🔴 Critical   Sandboxed execution; explicit approval for all writes
   Data exfiltration via file uploads  🔴 Critical   No outbound network calls without audit log + approval
   Accidental corruption of production code    🟡 High   Atomic writes + automatic backups + undo history
   Performance impact on large codebases   🟢 Low    Incremental indexing; lazy loading
   Competitive Landscape
   Platform    File Write  Auto-Test   Permission Model    Privacy
   Cursor  ✅ ⚠️ Partial  ⚠️ Basic    ❌ Cloud-first
   GitHub Copilot Workspace    ✅ ⚠️ Limited  ❌ None    ❌ Microsoft cloud
   Windsurf    ✅ ⚠️ Partial  ❌ No permissions  ⚠️ Hybrid
   Lumo (proposed) ✅ ✅ ✅ Granular    ✅ E2EE local
   
   Differentiation: No competitor offers privacy-preserving autonomous execution with granular user control. This would be Proton's unique value proposition.
   Priority
   
   Critical — This transforms Lumo from "chatbot" to "engineering platform"
   Effort
   
   High — Requires local agent infrastructure + security review + UX design
   Timeline Estimate
   
   6-8 sprints for MVP (read-only analysis → controlled writes → autonomous mode)
   Related Features
   
       Persistent Memory (needs project-scoped binding)
       Custom Lumos (can define permission profiles)
       File Analysis (upgrade to bidirectional sync)
       Proton Desktop App (could host local agent process)
   
   Engineer's Note
   
   I'm proposing this after building complex systems for 25+ years. The bottleneck isn't code generation anymore — it's closing the loop between idea and running system.
   
   Every time I have to:
   
       Copy code from chat to files
       Manually create directories
       Run commands I asked Lumo about
       Debug errors Lumo couldn't see
   
   That's 30-60 minutes wasted per feature. With secure local access, that becomes 5 minutes.
   
   Privacy isn't negotiable. Everything stays on-device. No cloud processing. End-to-end encryption. This is Proton's DNA.
   
   ---
   
   ## **Sekcje dodatkowe (opcjonalne):**
   
   **Dodatkowy komentarz przy zgłoszeniu:**
   
   This is not theoretical — I've prototyped local agent systems that can build and test code autonomously. The technology exists. What's missing is a privacy-preserving implementation that engineers trust.
   
   Key technical decisions already validated:
   
       Atomic writes prevent data corruption
       Sandboxed containers limit damage scope
       Version history enables rollback to any point
       Allowlist-based command execution prevents abuse
   
   The question isn't "can we build this?" It's "will Proton lead on privacy-preserving AI engineering tools?"
   
   **Tagi sugerowane:** `productivity`, `security`, `developer-tools`, `automation`
   

   🤖 Autonomous Project Builder with Local File System Access

   Summary

   Transform Lumo from a code-writing assistant into an autonomous project builder that can read, write, organize, and execute code directly on user's local filesystem with proper security controls.

   Problem Statement

   Current AI coding assistants (including current Lumo) operate in a "chat-only" paradigm:
   - User: "Build a Flask API with authentication"
   - Lumo: Returns code blocks in chat
   - User: Manually copies files, creates directories, runs tests, configures environment
   - Result: Friction, human error, context drift, repetitive work

   Real engineering work requires:
   1. Creating directory structures
   2. Writing multiple files with… more

   4 votes

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9. Lumo integration with Proton Meet for accessibility (live auto-captions)

   Perhaps Lumo could be used in Meet to provide live captioning for hard of hearing/Deaf folks to be able to follow along.

   Having a meeting platform that is a) affordable/free b) accessible and c) privacy-minded would be incredible. I haven't found a single platform that meets all of those criteria well, and if you make this happen, you would be giving the world a gift. Thanks!

   11 votes

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10. Better transparency for Lumo answer - Show Groundedness, Factuality score per answer

    Proton Lumo AI should not only be private, but also fair and transparent about its answers.
    I propose adding simply statistics to each answer derived from the metadata that is already present. E.g. a single bar going from green to red that show the likelihood of an answer being well founded (groundedness score) or something similar to a F1 score. In my opinion this matches the transparency that Proton is providing for all its products. Similar to how Proton uses Open Source code, it should also aim for maximum transparency of Lumo AI answers. This makes Lumo even better than it already is. I know I can ask Lumo to provide these statistics to me, but to make it visual using one or two metrices would be much more intuitive to work with and would make Lumo fit even better with Protons product ethics.

    Proton Lumo AI should not only be private, but also fair and transparent about its answers.
    I propose adding simply statistics to each answer derived from the metadata that is already present. E.g. a single bar going from green to red that show the likelihood of an answer being well founded (groundedness score) or something similar to a F1 score. In my opinion this matches the transparency that Proton is providing for all its products. Similar to how Proton uses Open Source code, it should also aim for maximum transparency of Lumo AI answers. This makes Lumo even better than… more

    11 votes

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11. : Add Read Aloud / Text-to-Speech Button for Responses

    I would like to request a "Read Aloud" button feature for Lumo AI responses. This would allow users to have my replies spoken aloud using text-to-speech.

    Why this would be helpful:

    Great for listening to content while relaxing, resting, or preparing for sleep
    Helpful for accessibility needs (visual impairments or difficulty reading on screen)
    Useful for multitasking when hands are busy but ears are free
    Perfect for consuming longer content like stories, summaries, or articles without staring at a screen
    Suggested implementation:

    A speaker 🔊 button next to each response (or in the response toolbar)
    Ability to pause, resume, and adjust playback speed
    Works on both web and mobile (iOS/Android apps)
    I love using Lumo and believe this feature would make it even more accessible and comfortable to use, especially for nighttime use or when I want to rest my eyes.

    Thank you for considering this suggestion!

    Best regards, Jellex

    I would like to request a "Read Aloud" button feature for Lumo AI responses. This would allow users to have my replies spoken aloud using text-to-speech.

    Why this would be helpful:

    Great for listening to content while relaxing, resting, or preparing for sleep
    Helpful for accessibility needs (visual impairments or difficulty reading on screen)
    Useful for multitasking when hands are busy but ears are free
    Perfect for consuming longer content like stories, summaries, or articles without staring at a screen
    Suggested implementation:

    A speaker 🔊 button next to each response (or in the response toolbar)
    Ability to pause, resume, and… more

    5 votes

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12. Add an incognito mode to not include memories for unbiased chats

    Lumo is great and the memory feature is great. However sometimes it would be nice to have a chat without it having all that extra memory context to have a simple unbiased, impartially neutral chat for times where all the memory content is making things "too" personalised with the angles it takes.

    It would also come in handy when someone is next to you and asks "Can you ask Lumo about XYZ" and then you search. With an incognito feature, if you're asking it questions about someone else's issues it won't blurt out for everyone reading things like "It's not that different than your [insert personal PRIVATE topic here] issue." because it wouldn't know any of your prior history/memory for that new chat.

    Lumo is great and the memory feature is great. However sometimes it would be nice to have a chat without it having all that extra memory context to have a simple unbiased, impartially neutral chat for times where all the memory content is making things "too" personalised with the angles it takes.

    It would also come in handy when someone is next to you and asks "Can you ask Lumo about XYZ" and then you search. With an incognito feature, if you're asking it questions about someone else's issues it won't blurt out for everyone reading things like "It's not… more

    5 votes

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13. Export and Access Chat-Knowledge Files to/in Proton Drive

    Perhaps, a 1-click button to export chat-knowledge files and/or transcripts (with formatting & timestamps reserved) to Proton Drive would be nice? And/or, having Lumo access files in Proton Drive as chat-knowledge files would also be useful, especially given the file-upload limit per chat.

    8 votes

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14. Add the option to protect Files and Messages, from the Chat Compaction Routine, by pinning them.

    Please add the feature to "pin" files and individual messages (be it user or Lumo messages),
    within the scope of one chat,
    in order to protect them from summarisation AND deletion.

    .

    The reason is clear:
    it's AWESOME that we now can continue using one chat for much longer, so that we don't have to interrupt our research or work so often any more.

    BUT often times during the cleanup, important details, source files or parts of files, get lost to the summarisation.

    .

    P.s.:

    My suggested feature having the scope of one chat would be perfectly fine for me,
    however there are broader suggestions too:
    https://protonmail.uservoice.com/forums/932842-lumo/suggestions/51504899-allow-users-to-manually-pin-items-to-persistent-me

    Please add the feature to "pin" files and individual messages (be it user or Lumo messages),
    within the scope of one chat,
    in order to protect them from summarisation AND deletion.

    .

    The reason is clear:
    it's AWESOME that we now can continue using one chat for much longer, so that we don't have to interrupt our research or work so often any more.

    BUT often times during the cleanup, important details, source files or parts of files, get lost to the summarisation.

    .

    P.s.:

    My suggested feature having the scope of one chat would be perfectly fine for me,… more

    3 votes

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15. Add capability allowing Lumo to package conversation, both prompts and responses, into a Proton doc file.

    Add capability allowing Lumo to package conversation, both prompts and responses, into a Proton doc file.

    5 votes

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16. Liquid Glass Integration iOS 26 Lumo App

    Liquid Glass integration would make the already pretty Lumo iOS 26 application look top-notch and even better than it already does. I’m pitching the benefits of it in an upcoming document to them but I’ve seen how Liquid Glass looks on apps already and if it could be implemented into the Lumo App on iOS you are already another step in the door towards becoming one of the top AI assistants in the Apple App Store by implementing this and the respective “visual flair” that it provides. This would make the app HIGHLY polished — more so than it already is.

    Liquid Glass integration would make the already pretty Lumo iOS 26 application look top-notch and even better than it already does. I’m pitching the benefits of it in an upcoming document to them but I’ve seen how Liquid Glass looks on apps already and if it could be implemented into the Lumo App on iOS you are already another step in the door towards becoming one of the top AI assistants in the Apple App Store by implementing this and the respective “visual flair” that it provides. This would make the app HIGHLY polished — more so than it already… more

    6 votes

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17. Add tools to Lumo so Lumo can gather info from content sources

    Beside the info provided in prompt, Lumo currently has these data sources: Web search, Proton Drive (.txt, .md, .csv, .pdf), and file upload.

    It makes Lumo more powerful if multiple data collecting tools can be added to Lumo. For example, from Proton Mail, from Proton Calendar, from Standard Notes (part of Proton ecosystem).

    Non-Proton sources could be: Google Drive, OneDrive. These can be done by APIs of these services.

    7 votes

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18. Lumo search/conversation widget

    I would like to have a Lumo search/conversation bar widget (like Google search widget) in order to access Lumo faster from home screen.

    3 votes

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19. Add Text-to-Speech and Voice Input

    I am enjoying interacting with Lumo so far and I am wanting to switch to Lumo from Gemini as my main AI. I really like the privacy and being able to see its thoughts. I would like to see some voice interaction in the future if possible. It would make it much easier for me to switch over and interact with Lumo. Perhaps a few different voice options and pacing would work well. Thank you!

    6 votes

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20. Integrated events into calendar?

    It would be amazing to have an integrated toggle for moon phases, holidays, special days like tax day and voting day (country specific).

    3 votes

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