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Memova

← Back to the book

Stable Strategic Themes

  • Tool AI → Ambient AI: users should not need to become prompt/workflow operators.
  • Notes → Memory → Actions: notes are the beginning of a process, not the end artifact.
  • Page → Book → Library: private source pages can become confirmed shareable HTML projections, while automatic book formation turns repeated creation into a personal memory and knowledge library.
  • People as primary nodes: commitments, follow-ups, and context often organize around people.
  • Human-led agency: AI should assist, align, and offer choices instead of silently taking over.
  • Local-first memory: privacy, trust, speed, and long-term ownership are core to the product story.
  • Low cognitive load wedge: ADHD / LD / ND users and meeting-heavy users may strongly value structured, guided, actionable notes.
  • Memova Pen direction: handwriting + audio + context can become actionable memory; personalized handwriting recognition may become a moat.

Current Source Notes

  • Memova Whitepaper v1 - Feishu Source
  • Memova OH8 Project Update 2026-05-07
  • Memova Pen Handwriting Recognition Research

Threads To Develop

  • Product narrative and positioning.
  • Inbox & Brief / Knowledge Base / Agent Hands product architecture.
  • First wedge and ICP selection.
  • Memova Pen hardware/data capture strategy.
  • Multi-form-factor ODM partnership: recording card, watch clip, clip-on headphones, AI glasses, and Memova Pen.
  • Memova Pen industrial design language and sensing-spine product form.
  • Handwriting recognition MVP and experiment design.
  • Calendar / alignment / daily planner workflows.
  • Technical architecture for local-first memory and agent integration.
  • Page-first founder workflow, shared HTML access, automatic book formation, and the product-book information architecture.

Product Architecture Snapshot

Updated 2026-05-20 product model: Inbox & Brief → Knowledge Base → Agent Hands → Outputs, with the whole loop understood as the Memova Second Brain.

  1. Inbox & Brief: natural input and alignment layer for notes, meetings, voice, handwriting, thoughts, and agent-ready briefs.
  2. Knowledge Base: Obsidian / local Markdown / project memory / structured people, projects, decisions, and commitments.
  3. Agent Hands: product-language execution layer; internally the Agent Executor that operates tools, apps, agents, and workflows.
  4. Outputs: plans, drafts, calendar events, tasks, code, reports, and follow-ups.

2026-07-19 first sharp wedge: Context → Private Page → Shared HTML / Optional Distribution → Auto-book → Personal Library. This is not a company pivot; it is a concrete, painful founder direction that can become Memova's first entry into user mindshare. Public posting is not required for product value. The private Page remains the source of truth; sharing and distribution are user-confirmed projections. memova_user_manifesto_future_of_being_remembered_2026-07 defines the enduring promise that a person's value is not merely to be recorded but to continue to be understood. The internal v0.5 implementation demonstrates this as one Book with four Chapters and ten human-and-agent-readable Pages. See memova_company_memory_book_v0_5_2026-07-19 and memova_product_book_v0_1_2026-07-19.

2026-08-13 product implication from Garry Tan's “Own Your Intelligence”: preserve the Page-first canonical MVP, but test a lightweight Context Review Skill → Memory Diff → user confirmation → Context Pack → next-task improvement bridge. Skill is an entry surface, Page/Book is a human projection, and the durable asset is the correctly governed canonical context and calibration loop. Personal and company context remain separate authorities; see memova_garry_tan_own_your_intelligence_product_implications_2026-08-13 and memova_context_ownership_portable_skills_2026-08-13.

Current Full / Working Notes

  • Memova Website
  • What Garry Tan's Own Your Intelligence Means for Memova's Product Direction
  • Chen Chen Data Science Lead Role Plan
  • memova_whitepaper_v1
  • memova_pitch_deck_2026-05-22
  • memova_market_sizing_ai_agent_gap_2026-05-22
  • memova_agent_usage_chart_2026-05-23
  • memova_final_agent_usage_report_2026-05-23
  • memova_pen_handwriting_recognition_research
  • memova_pen_industrial_design_research_2026-05-18
  • memova_pen_industrial_design_research_2026-05-18_zh
  • memova_product_layer_concept_2026-05-20
  • Memova Website Homepage Bilingual Copy
  • Memova Bilingual Introduction
  • memova_user_manifesto_future_of_being_remembered_2026-07
  • memova_company_memory_book_v0_5_2026-07-19
  • memova_company_memory_book_v0_4_2026-07-19
  • memova_company_memory_book_v0_2_2026-07-19
  • memova_product_book_v0_1_2026-07-19
  • memova_odm_hardware_partnership_2026-07-10
  • Project Update — May 7, 2026

Next Wiki Work

  • Create concept pages for Ambient AI, Human-led Agency, and Actionable Memory.
  • Turn project updates into dated decision records.
  • Add live Feishu imports once feishu_doc access is available or document links are provided.
  • Keep website deployment and waitlist operations current in Memova Website.