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Alternatives

Products that do what ContextOS does

The local-first cross-platform AI context manager.

  1. 1IB
  2. 2

    Reusable AI Memory for Smarter Prompts Anywhere

    Nov 2025

  3. 3

    Your day just got smarter

    2024 · timeless.day

  4. 4

    Better meetings at your fingertips

    2022

  5. 5

    Sync memory across AI's so they pick up where you left off.

    2025

  6. 6

    context-augmented intelligence for meetings

    2017

  7. 7IB

    Hi HN, I built this out of frustration of the evergrowing list of AI models and features to try and to fit my workflow. The visual approach clicks for me so i went with it, it provides more freedom and control of the outcome, because predictable results and increased productivity is what I’m after when using conversational AI. The app is packed with features, my most used are prompt library, voice input and text search, narration is useful too. The app is local-first and works right in the browser, no sign up needed and it's absolutely free to try. BYOAK – bring your own API Keys. Let me…

    2024 · grafychat.com

  8. 8

    Automate assembling the perfect context for your project

    Jan 2026

  9. 9
    Relay120

    Stop repeating yourself to every AI

    May 2026 · onrelay.app

  10. 10
    tabOS118

    All-in-one dashboards for tabs, notes, AI chats, and more

    2024

  11. 11

    portable memory layer for ChatGPT, Claude, Gemini & more

    May 2026 · context-vault-two.vercel.app

  12. 12
    Argos110

    The AI that acts as you, right in your browser

    29d ago · tryargos.cc

  13. 13

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com

  14. 14CO

    I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…

    2025 · github.com

  15. 15

    Folders for your AI chats with ChatGPT Claude, Gemini & Grok

    Apr 2026 · chatfolder.pages.dev

  16. 16

    The context manager and skills library for marketing teams

    Apr 2026 · promptr.ai

  17. 17MB

    Hey HN! We're Deshraj and Taranjeet. We've been building working on a startup called Mem0, building an open-source memory layer for AI apps and agents (https://news.ycombinator.com/item?id=41447317). We also kept running into our own daily frustrations with AI assistants forgetting everything between conversations. Over a weekend, we decided to hack together a Chrome extension to solve this for ourselves. The problem was simple: we were constantly re-explaining our context across platforms when switching between ChatGPT, Claude, and Perplexity. Start a coding discussion in…

    2024 · github.com

  18. 18

    Export & restore your ChatGPT chats in full context

    Oct 2025

  19. 19

    Intelligent context routing for AI coding assistants

    12d ago · github.com

  20. 20PC

    Hey HN! We're Lucas and Soheil, the founders of Praxos (https://praxos.ai). Praxos is a context manager for AI Agents, providing everything you need to build stateful agents that don't break in production. Praxos can parse any data source, from unstructured PDFs and API streams to conversational messages, to structured databases, and transform them into a single Knowledge Graph. Everything in this graph is semantically typed and its relationships are made explicit, turning data into a clean, queryable universe of understanding that AI can use without making mistakes. Whether you…

    2025

  21. 21
    Fermeon26

    Your AI finally remembers you.

    Mar 2026 · fermeon.xyz

  22. 22

    Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I realized several people on our team were solving the same problems independently because previous…

    Jul 2026 · contextvault.dev

  23. 23

    Branching AI chats with per-node prompts and models

    May 2026 · contexttree.tech

  24. 24
    Readit14

    Portable context for AI agents

    Oct 2025

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