383 results found

1. Personal assistant

   Would be great if Lumo could take longer tasks, run unattended or on schedule, and interact with mail and drive.
   Like Claude Cowork or Openclaw.

   7 votes

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2. Lumo Conversation Bookmarks

   I often have long conversations with Lumo and weeks or months later need to refer to just a section of that conversation. I know there is a search feature, but I'd like to be able to place a bookmark at a specific point of a conversation instead of conducting a keyword search across all conversations.

   For example, I'm using Lumo for development and had some ideas for future features that I can't get to right now, and I need to keep the conversation on track. Six months from now, I'd like to quickly jump back to the part of the conversation that discussed these features.

   I often have long conversations with Lumo and weeks or months later need to refer to just a section of that conversation. I know there is a search feature, but I'd like to be able to place a bookmark at a specific point of a conversation instead of conducting a keyword search across all conversations.

   For example, I'm using Lumo for development and had some ideas for future features that I can't get to right now, and I need to keep the conversation on track. Six months from now, I'd like to quickly jump back to the part of the… more

   7 votes

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3. 🧠 Advanced Persistent Project Memory & Engineering Partner Mode

   🧠 Advanced Persistent Project Memory & Engineering Partner Mode

   Summary

   Enable Lumo to maintain long-term project context across sessions and operate as a proactive engineering partner rather than reactive assistant.

   Problem Statement

   Current conversation memory is session-bound. Each new chat requires re-establishing context about:
   - Project architecture decisions and trade-offs
   - Technology stack specifics (local models, frameworks, deployment targets)
   - Previous iterations and lessons learned
   - Ongoing development challenges

   This creates friction for complex, multi-session projects and forces users to constantly re-explain context.

   Proposed Solution

   Feature 1: Project-Specific Memory Stores

   Description: Allow users to create and manage named "project memory" objects that persist across separate conversations.

   Key Capabilities:
   - Store: Architecture diagrams, tech stack details, API contracts, codebase structure
   - Query: Natural language retrieval of project-specific knowledge
   - Update: Incremental additions as project evolves
   - Export/Import: Share project contexts between team members

   Technical Implementation:
   ```yaml
   ProjectMemory:
   - Name: "adrenalina-prime"
   - Created: timestamp
   - Tags: ["engineering", "agent-system", "local-llm"]
   - ContextBlocks:
   - Type: "architecture" | "api-contract" | "tech-stack" | "decision-log"
   - Content: markdown/text
   - Last_Modified: timestamp
   Feature 2: Engineering Partner Mode

   Description: Toggle switch for interaction style optimization.
   Standard Mode Engineering Partner Mode
   Reactive Q&A Proactive gap identification
   Generic responses Stack-aware suggestions (e.g., knows Ollama vs OpenAPI constraints)
   No state awareness Remembers previous session's blockers
   Neutral tone Direct, technical communication (zero sugar-coating)
   Feature 3: Contextual Code Awareness

   Description: When uploading code files, Lumo should build internal map of:

   File dependencies and imports
   Function signatures and interfaces
   Testing coverage and gaps
   Potential security vulnerabilities based on patterns
   

   Integration Points:

   Auto-detect language/framework from file extensions
   Cross-reference with known local model capabilities (e.g., deepseek-coder:6.7b context window limits)
   Suggest tests before implementation, not after
   

   User Stories

   "As a developer working on a multi-week project, I want to resume conversation without explaining what we built last week."
   
   "As an engineer, I want Lumo to notice architectural inconsistencies between my code and stated design goals."
   
   "As a team lead, I want to share project context with junior developers via exported memory bundles."
   

   Success Metrics
   Metric Target
   Reduction in context-setting time >60% decrease
   Multi-session project completion rate +40% increase
   User satisfaction (Engineering users) NPS +25 points
   Memory feature adoption >50% of Lumo Plus users within 6 months
   Risks & Mitigations
   Risk Mitigation
   Privacy concerns with persistent data All memory encrypted end-to-end; opt-in only
   Memory bloat over time Automatic summarization; user-controlled cleanup
   Inaccurate recall Version history with diff view; confidence scoring on retrieved context
   Competitive Differentiation

   Other AI assistants (Claude, ChatGPT, etc.) offer:

   ✅ Long context windows
   ❌ Project-scoped memory persistence
   ❌ Role-based interaction modes
   ❌ Architecture-aware code review
   

   Lumo's opportunity: Become the first privacy-focused AI with persistent project memory + professional mode optimization.

   Priority: High Effort: Medium (requires backend memory infrastructure + UI toggles) Timeline Estimate: 3-4 sprints for MVP

   Related Features:

   Custom Lumos (already exists, but lacks memory integration)
   Persistent Memory (exists, but not project-scoped)
   File Analysis (exists, but lacks cross-session code mapping)
   

   🧠 Advanced Persistent Project Memory & Engineering Partner Mode

   Summary

   Enable Lumo to maintain long-term project context across sessions and operate as a proactive engineering partner rather than reactive assistant.

   Problem Statement

   Current conversation memory is session-bound. Each new chat requires re-establishing context about:
   - Project architecture decisions and trade-offs
   - Technology stack specifics (local models, frameworks, deployment targets)
   - Previous iterations and lessons learned
   - Ongoing development challenges

   This creates friction for complex, multi-session projects and forces users to constantly re-explain context.

   Proposed Solution

   Feature 1: Project-Specific Memory Stores

   Description: Allow users to create and manage named "project memory"… more

   4 votes

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4. Copy Block for generated Email and COde

   When Lumo generate response and if it contain Email or Code, it should be in a block with copy button which i can copy the whole Mail or Code with single click and paste in my mail or IDE.

   4 votes

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5. Please have a text to voice function at the end of each message.

   Please have a text to voice function at the end of each message. Every other AI incorporates this and it reads the text back to you. It helps people with disabilities or if you are driving and trying to pay attention to the road. This way you can voice to text to Lumo and get text to voice back. Thanks!

   4 votes

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6. Title: "Lumo Agent Mode: Computer interaction & coding automation with accessible pricing tier

   I'm requesting that Proton develops Lumo as an AI agent capable of interacting directly with my computer to automate tasks and assist with coding workflows.

   What I mean by "Agent Mode":

   Execute commands and scripts on my local machine
   Navigate filesystems, create/edit files automatically
   Debug code by identifying and fixing errors
   Run terminal commands with permission confirmation
   Integrate with IDEs (VS Code, JetBrains, etc.)
   Handle repetitive development tasks autonomously
   Why this matters: Currently, LLMs can only respond within chat interfaces. An agent-capable Lumo would enable:

   Real automated workflows (data processing, file organization, deployments)
   Faster coding cycles with automatic debugging/refactoring
   Reduced manual work on routine computer tasks
   Pricing concern: I'd like this feature available in a semi-free tier — not full unlimited enterprise access, but beyond basic free limits. For example:

   Limited number of agent actions per day/month
   Core functionality without premium integrations
   Affordable upgrade path for power users who aren't enterprises
   Many competitors offer agent modes; Proton could differentiate by maintaining strong privacy guarantees while providing practical automation tools at multiple price points.

   I'm requesting that Proton develops Lumo as an AI agent capable of interacting directly with my computer to automate tasks and assist with coding workflows.

   What I mean by "Agent Mode":

   Execute commands and scripts on my local machine
   Navigate filesystems, create/edit files automatically
   Debug code by identifying and fixing errors
   Run terminal commands with permission confirmation
   Integrate with IDEs (VS Code, JetBrains, etc.)
   Handle repetitive development tasks autonomously
   Why this matters: Currently, LLMs can only respond within chat interfaces. An agent-capable Lumo would enable:

   Real automated workflows (data processing, file organization, deployments)
   Faster coding cycles with automatic debugging/refactoring
   Reduced… more

   6 votes

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7. Feature Request: "Amnesia Bridge" – Cross-Chat Context Retrieval

   When chats close due to resource limits, all invested context is lost. Users must re-upload files and start from scratch—wasting time and compute.

   Proposal: Let users selectively pull context from older chats into active conversations: "Lumo, check our chat from last week for what we found about XY." -> the desired feature is similar to "websearch" - just scoping the own (internal) activities.

   Optional: User tagging of important chats for quicker discovery.

   Why it fits: Same privacy model, just extended. Decryption stays client-side, metadata stays user-controlled and encrypted. No server-side indexing.

   Impact: Better session continuity, no redundant uploads, preserves invested work.

   When chats close due to resource limits, all invested context is lost. Users must re-upload files and start from scratch—wasting time and compute.

   Proposal: Let users selectively pull context from older chats into active conversations: "Lumo, check our chat from last week for what we found about XY." -> the desired feature is similar to "websearch" - just scoping the own (internal) activities.

   Optional: User tagging of important chats for quicker discovery.

   Why it fits: Same privacy model, just extended. Decryption stays client-side, metadata stays user-controlled and encrypted. No server-side indexing.

   Impact: Better session continuity, no redundant uploads, preserves invested… more

   5 votes

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8. VSCode integration

   Other LLM's like ChatGPT and Claude have integration with VSCode. It would be great to see an integration for that or another opensource IDE.

   The most amazing thing would be if you can replace all the things most people use day to day with apps and have full support on Linux.

   47 votes

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9. Integrated Notebook with Offline/Online Toggle & Nested Folder Structure

   Description: While existing requests cover "Offline Chat Access" and "Project Folders," I need a dedicated Integrated Notebook feature to permanently capture, organize, and secure specific insights extracted from our conversations. Currently, valuable information gets lost in endless scrolling or requires exporting to external tools.

   I request a native Notebook within Lumo with the following capabilities:

   1. Seamless Capture from Chat

   • Highlight any message or paragraph in a chat and instantly "Save to Notebook."

   • Saved notes become standalone, editable entries but retain a link back to the original conversation for context.

   1. User-Controlled Privacy (Offline vs. Online Toggle)

   • Crucial Feature: Users must be able to choose per note whether it is stored Offline-only (local device storage, zero-cloud access) or Online (synced across devices via Proton's secure infrastructure).

   • This allows for maximum privacy for sensitive data (health logs, personal journals) while keeping collaborative notes synced. Existing "Offline Chat" proposals do not offer this granular control per item.

   1. Robust Organization (Nested Folders)

   • Folder Structure: Create nested folders and subfolders (e.g., "Health > Silver", "Writing > Drafts", "Politics > Analysis").

   • Unlike simple project folders for chats, this allows for a hierarchical knowledge base where users can organize thoughts logically, not just chronologically.

   • Tags & Search: Add custom tags to notes and search across all notebooks instantly.

   Why this matters: This transforms Lumo from a transient chat tool into a permanent, structured, and private "second brain." The ability to toggle between offline and online storage ensures that users can keep their most sensitive data completely isolated on their device while still benefiting from cloud sync for less critical information. Combined with nested folder structures, this provides the organization power needed for complex, long-term projects without leaving the Proton ecosystem.

   Technical Feasibility: Leverages existing Proton local storage capabilities (similar to Proton Drive's offline mode) and integrates them directly into the chat UI, using the same encryption standards.

   Description: While existing requests cover "Offline Chat Access" and "Project Folders," I need a dedicated Integrated Notebook feature to permanently capture, organize, and secure specific insights extracted from our conversations. Currently, valuable information gets lost in endless scrolling or requires exporting to external tools.

   I request a native Notebook within Lumo with the following capabilities:

   1. Seamless Capture from Chat

   • Highlight any message or paragraph in a chat and instantly "Save to Notebook."

   • Saved notes become standalone, editable entries but retain a link back to the original conversation for context.

   1. User-Controlled Privacy (Offline vs. Online Toggle)

   • Crucial Feature: Users must be… more

   3 votes

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10. Share Lumo Response

    Most other LLM apps have a share icon at the end of a response. When click, a link is generated that points to the response in the conversation. Proton can implement this feature and use the link permissions that exist in Proton Drive. A user could set a default permission policy in the app.

    I use this feature extensively to combat misinformation shared with me by asking Grok, for example, "Is this true?" along with a URL. I then share a link to my AI response result as a source of my research.

    7 votes

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11. Add Lumo integration for Android Auto

    I'd like to request official Lumo support for Android Auto. This would enable hands-free voice interaction with Lumo while driving, improving safety and accessibility.

    Why This Matters

    Currently, accessing AI assistants while driving requires unsafe workarounds (phone screens, third-party apps without privacy guarantees). With Android Auto integration, users could:

    • Ask questions hands-free via voice commands
    • Get navigation assistance with private AI
    • Request summaries, translations, or information without touching the phone
    • Keep conversations encrypted end-to-end (proton's core value proposition)

    Key Use Cases

    | Scenario | Benefit |
    |----------|---------|
    | Navigation queries | "Where's the nearest charging station?" → Private, no tracking |
    | Driving directions | "Take me home fastest route avoiding traffic" |
    | Quick info checks | Weather, reminders, schedule while on the road |
    | Hands-free productivity | Dictate notes, emails, or messages securely |

    Technical Considerations

    • Voice recognition integrated with Google Assistant or native Android Auto
    • Zero-access encryption maintained throughout
    • Low-latency responses for real-time driving needs
    • Optional offline mode for basic queries (if feasible)

    Competitive Context

    Other AI assistants (Google Assistant, Amazon Alexa) already have car integrations. Proton could differentiate itself by offering a privacy-first alternative for users who care about data protection while traveling.

    ---

    Impact Statement

    This feature would make Lumo a true daily companion—not just at the desk, but anywhere life happens. Safety + privacy in one package is a strong differentiator for Proton's brand.

    ---

    I'd like to request official Lumo support for Android Auto. This would enable hands-free voice interaction with Lumo while driving, improving safety and accessibility.

    Why This Matters

    Currently, accessing AI assistants while driving requires unsafe workarounds (phone screens, third-party apps without privacy guarantees). With Android Auto integration, users could:

    • Ask questions hands-free via voice commands
    • Get navigation assistance with private AI
    • Request summaries, translations, or information without touching the phone
    • Keep conversations encrypted end-to-end (proton's core value proposition)

    Key Use Cases

    | Scenario | Benefit |
    |----------|---------|
    | Navigation queries | "Where's the nearest charging station?" → Private, no tracking… more

    4 votes

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12. Idea: What if Lumo used on-device processing for heavy lifting?

    Here's a thought: what if Lumo tapped into Apple's on-device intelligence (Neural Engine on iPhones/MacBooks) to pre-process large files before sending them to the cloud?

    Right now, if you upload a big reference book — say, 12 MB — Lumo simply truncates it to 128K tokens. You lose most of the content before analysis even begins. That's frustrating.

    A hybrid approach could fix this: the device handles the first pass (chunking, summarizing, extracting key sections), then ships the compressed result to Lumo's servers for the deep work. Less server load, faster responses, and no more throwing away half your document.

    Yes, it'd need bigger token limits on the server side and some clever work to keep everything encrypted end-to-end — but the payoff is real. This kind of edge-cloud split is already gaining traction in the industry, and it feels like a natural.

    Something to think about.

    Here's a thought: what if Lumo tapped into Apple's on-device intelligence (Neural Engine on iPhones/MacBooks) to pre-process large files before sending them to the cloud?

    Right now, if you upload a big reference book — say, 12 MB — Lumo simply truncates it to 128K tokens. You lose most of the content before analysis even begins. That's frustrating.

    A hybrid approach could fix this: the device handles the first pass (chunking, summarizing, extracting key sections), then ships the compressed result to Lumo's servers for the deep work. Less server load, faster responses, and no more throwing away half your document.

    … more

    5 votes

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13. Shared Project Folders — Persistent Files Across All Chats

    Feature Request: Shared Project Folders — Persistent Files Across All Chats

    Category: Feature Request
    Submitted by: fretmusic

    The Problem

    Lumo’s conversations operate as isolated silos. When I’m working on a long-term project across multiple chats—whether it’s home automation, coding, or research—I have to repeatedly paste my project’s “master status document” into each new conversation to keep Lumo updated. If I forget, or if the document is outdated, the new chat starts with stale information and offers advice that’s no longer relevant. Even worse, the knowledge built up in past chats is essentially locked away—neither I nor a new chat can access it.

    This creates a tax on every serious multi-chat workflow: managing state by hand.

    The Proposed Solution

    Shared project folders— a persistent, user-controlled workspace that lives outside any single conversation:

    The Lumo app could have a “Projects” space where each project gets its own folder with documents like status files, notes, reference material, and code that persist independently of any chat. Every chat could read from this space, so when you start a new conversation, you choose a project (or Lumo guesses from your request), and the relevant files are instantly available without pasting anything. Chats could also write to it, updating documents at the end of a session or on demand, ensuring the next chat picks up from the latest state instead of an outdated snapshot. Folders would be user-visible and editable, letting you open them, edit files directly, delete content, and control which chats can access which folders.

    Why This Benefits All Users

    Project continuity ensures multi-session work flows smoothly — tasks like continuing a smart home setup just work without re-uploading context. Collaboration is easy with a shared project folder, allowing family or team members’ chats to pull from the same current state. Trustworthy memory combines Persistent Memory for preferences and background with explicit, inspectable project files, letting users clearly see what the AI knows. Shorter conversations keep chat history clean, since users no longer need to paste documents repeatedly, reducing clutter and bloated context.

    Suggested Details

    • Support for Markdown, text, and code file formats.
    • Folder-level access control, private by default.
    • Optional auto-sync feature: append session summaries to project changelog after each chat.
    • Encryption and privacy aligned with Proton standards, including end-to-end encrypted project spaces within a zero-access architecture.

    Summary

    Persistent project folders would transform Lumo from a capable assistant with amnesia between conversations into a collaborative partner that remembers exactly where we left off. For those working on projects that span days, weeks, or even months, this would be the biggest quality-of-life improvement imaginable.

    Feature Request: Shared Project Folders — Persistent Files Across All Chats

    Category: Feature Request
    Submitted by: fretmusic

    The Problem

    Lumo’s conversations operate as isolated silos. When I’m working on a long-term project across multiple chats—whether it’s home automation, coding, or research—I have to repeatedly paste my project’s “master status document” into each new conversation to keep Lumo updated. If I forget, or if the document is outdated, the new chat starts with stale information and offers advice that’s no longer relevant. Even worse, the knowledge built up in past chats is essentially locked away—neither I nor a new chat can… more

    3 votes

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14. Ability to edit chat names (especially in projects).

    The automated chat names often aren't relevant to the topic. The ability to edit them would be helpful, especial for projects.

    7 votes

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15. Deeper integration with Proton Drive and Mail

    Subject: Deeper Lumo Integration with Proton Drive & Proton Mail — Direct AI-Powered Organization

    As a long-time Proton Visionary subscriber, I've watched the Proton ecosystem grow from its early days into something truly remarkable. Lumo is a fantastic addition, and the existing Proton Drive file integration — being able to add files to a chat's knowledge base — is a great start. However, I'd love to see a much deeper integration where Lumo can actively help manage and organize my Proton account, not just read files I manually bring into a conversation.

    Specifically, I'd love to see Lumo able to:

    Browse and search across my Proton Drive — Find files by content, type, or keyword without me needing to manually locate and add each one
    Identify and flag duplicate files — Helping me reclaim storage space by detecting duplicates
    Suggest and apply folder structures — Recommending organization schemes based on file types, naming patterns, or content, and optionally applying them
    Sort and organize my Proton Mail inbox — Applying labels, filters, or folders based on sender, subject, or content patterns, and helping me triage or archive email in bulk
    Surface important or actionable emails — Acting as an intelligent assistant that helps me prioritize what needs attention
    I understand this would require granting Lumo scoped access to my Drive and Mail, and I recognize the privacy considerations involved. However, given Proton's expertise in zero-access encryption, I trust that Proton could design this in a way that maintains the privacy guarantees I value — perhaps with on-device processing or a permission model where I explicitly grant and can revoke access.

    I would gladly pay more for this capability — whether as a premium Lumo feature tier or an add-on to my Visionary plan. I believe many other users would too. This kind of deep, intelligent assistant integration across the Proton ecosystem would be a genuine differentiator and would make the Visionary plan even more compelling.

    Thank you for considering this, and thank you for building the privacy-first internet I've believed in since the beginning.

    Subject: Deeper Lumo Integration with Proton Drive & Proton Mail — Direct AI-Powered Organization

    As a long-time Proton Visionary subscriber, I've watched the Proton ecosystem grow from its early days into something truly remarkable. Lumo is a fantastic addition, and the existing Proton Drive file integration — being able to add files to a chat's knowledge base — is a great start. However, I'd love to see a much deeper integration where Lumo can actively help manage and organize my Proton account, not just read files I manually bring into a conversation.

    Specifically, I'd love to see Lumo able to:

    … more

    6 votes

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16. Report Carbon equivalent footprint of a user requests

    I think I do not have to explain that energy consumption of LLMs even doing only inférence is high.
    Since Proton has always promoted transparency over source code of its tools, I believe it should also pioneer transparency on this matter.
    There exist libraries to wrap function calls and estimate co2 équivalent (e.g. mlco2)

    44 votes

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17. Make Lumo legal research privileged

    This is an additional business model leveraging Lumo and fixing a known severe privacy vulnerability.
    1. Establish a genuine Proton Law firm with actual bar approved lawyers/counselors, etc.
    2. Offer legal insurance subscription the provides some level of support from this actual staff of certified humans.
    3. Provide this access by leveraging Lumo as an incoming customer screening system to help customers get to the right lawyer.
    4. As part of the screening system, leverage Lumo as a law library regerence for incoming customers to properly identify the appropriate human legal certfied legal specialist for their issues.
    5. PROTECT ALL LUMO CALL SCREENING EXCHANGES AS PRIVILEGED AND GENERALLY NOT SUBJECT TO SUBPOENA. RETAIN ONLY ENCRYPTED INFORMATION WITH KEY BELONGING TO THE CUSTOMER WHO MAY DELETE IT AT WILL.
    6. Start with firms in the US and EU.
    7. Allow me to invest in “Proton Legal Services”.

    This is an additional business model leveraging Lumo and fixing a known severe privacy vulnerability.
    1. Establish a genuine Proton Law firm with actual bar approved lawyers/counselors, etc.
    2. Offer legal insurance subscription the provides some level of support from this actual staff of certified humans.
    3. Provide this access by leveraging Lumo as an incoming customer screening system to help customers get to the right lawyer.
    4. As part of the screening system, leverage Lumo as a law library regerence for incoming customers to properly identify the appropriate human legal certfied legal specialist for their issues.
    5. PROTECT ALL… more

    3 votes

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18. OpenAI-compatible API endpoint for the upcoming Lumo API

    I'm excited about the Lumo API announced in the autumn/winter 2026 roadmap. As a paying Lumo subscriber and developer working with local AI agent frameworks, I'd like to request one specific design decision:

    Please make the Lumo API OpenAI-compatible — i.e., follow the standard chat/completions endpoint format (same request/response structure, streaming support, and authentication headers used by the OpenAI API).

    Why this matters: OpenAI-compatibility has become the de facto standard for AI endpoints. Virtually every agent framework, local model router, and developer tool (LangChain, Open WebUI, LM Studio integrations, and countless others) already speaks this format. An OpenAI-compatible Lumo API would be a near-zero-effort drop-in for these tools — users could point their existing agents at Lumo simply by swapping the base URL and adding an API key.
    Without this compatibility, each user would need to write a custom adapter, which creates friction and discourages adoption — particularly unfortunate since Lumo's zero-access encryption and no-logging privacy model are exactly what many agent users are looking for in a cloud fallback to their local models.

    In short: OpenAI-compatible formatting would maximize the API's reach on day one while preserving everything that makes Lumo unique. Thank you for considering it!

    I'm excited about the Lumo API announced in the autumn/winter 2026 roadmap. As a paying Lumo subscriber and developer working with local AI agent frameworks, I'd like to request one specific design decision:

    Please make the Lumo API OpenAI-compatible — i.e., follow the standard chat/completions endpoint format (same request/response structure, streaming support, and authentication headers used by the OpenAI API).

    Why this matters: OpenAI-compatibility has become the de facto standard for AI endpoints. Virtually every agent framework, local model router, and developer tool (LangChain, Open WebUI, LM Studio integrations, and countless others) already speaks this format. An OpenAI-compatible Lumo API… more

    3 votes

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19. Automatic web-search fallback for Proton product questions

    Problem: When a question about Proton products/features finds no results via Lumo's Proton documentation lookup, Lumo currently concludes the feature doesn't exist — sometimes confidently warning users it may be a scam. In my case, Lumo denied Proton Pass AI Access Tokens (a real, shipped feature announced May 2026) and suggested I'd encountered phishing, because the docs index hadn't caught up with the announcement. Live web search quickly corrected this, but only because it happened to be used.

    Requested feature: When the Proton documentation tool returns no results for a product question, Lumo should automatically fall back to web search before answering, rather than treating "not in the index" as "doesn't exist." This matters for user trust: the assistant contradicting Proton's own documentation undermines confidence in using it for Proton questions at all.

    Problem: When a question about Proton products/features finds no results via Lumo's Proton documentation lookup, Lumo currently concludes the feature doesn't exist — sometimes confidently warning users it may be a scam. In my case, Lumo denied Proton Pass AI Access Tokens (a real, shipped feature announced May 2026) and suggested I'd encountered phishing, because the docs index hadn't caught up with the announcement. Live web search quickly corrected this, but only because it happened to be used.

    Requested feature: When the Proton documentation tool returns no results for a product question, Lumo should automatically fall back to web search… more

    4 votes

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20. Create a specific macOS app or allow use of the iPadOS app on mac with Silicon

    Create a specific macOS app or allow use of the iPadOS app on mac with Silicon

    4 votes

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