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Alternatives

Products that do what Mnemosyne does

Semantic AI with Zero-Knowledge Encryption Absolute Privacy

  1. 1

    Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server. - M4F-S/gomaa

    15d ago · github.com

  2. 2

    An open-source memory engine born from Hermes. Sub-ms recall

    Jun 2026 · mnemosyne.site

  3. 3ML
  4. 4

    Local-first AI memory layer. Plain markdown.

    Jun 2026 · github.com

  5. 5
    Neuton.AI271

    No-code artificial intelligence for all

    2021

  6. 6
    Dokko185

    Conversational AI Platform for Knowledge Sharing

    2024

  7. 7KD

    I've built this to make it easy to host your own infra for lightweight VMs at large scale. Intended for exec of AI-generated code, for CICD runners, or for off-chain AI DApps. Mainly to avoid Docker-in-Docker dangers and mess. Super easy to use with CLI / Python SDK, friendly to AI engs who usually don't like to mess with VM orchestration and networking too much. Defense-in-depth philosophy. Would love to get feedback (and contributors: clear & exciting roadmap!), thx

    Oct 2025 · github.com

  8. 8

    Build & scale AI \ agents as microservices with IAM

    Dec 2025 · agentfield.ai

  9. 9

    The zero-knowledge engineer that fixes code without seeing

    Nov 2025

  10. 10AA

    Hello HN, we're CipherNomad, the research initiative behind this project. The Ariadne Protocol is our exploration of a different cryptographic model. The work began with an observation of primitives like the Lion transform, which use a static, hardcoded sequence of operations. This led us to ask: What if the cryptographic "program" wasn't a constant, but a dynamic, history-dependent variable? Our first step was a "Cryptographic Virtual Machine" that took an explicit list of operations (a "Path"). This worked, but required sharing the Path object—an explicit dependency that needed to be…

    2025 · codeberg.org

  11. 11

    Personal offline knowledge hub. JSON-based. Completely free

    Jan 2026 · yurakas-netizen.github.io

  12. 12

    Eradicate Shadow AI with zero-trust semantic governance.

    Apr 2026 · zerocostautomation13.gumroad.com

  13. 13

    The Confidential AI Gateway

    Dec 2025 · orgn.com

  14. 14MA

    Hey HN, We’ve been heads-down building MOSS - a semantic memory layer that brings AI-powered search and personalization fully on-device (No cloud | No latency | No data leaving the user’s device) We just launched a live demo showing MOSS running entirely in-browser, performing lightning-fast semantic search over local in-browser VectorDB. This unlocks a new class of privacy-first, hybrid AI experiences that work even without a server connection. If you’re curious about: - how to run AI search right inside the browser - the technical challenges behind on-device vector search - why we believe…

    2025 · twitter.com

  15. 15

    Turn the internet into a multiplayer territory game.

    Jul 2026 · chromewebstore.google.com

  16. 16NC

    There's been some interesting work lately with BrowserAI (runs LLMs in the browser using WebGPU) enabling local, private AI processing. Now, the team has released BrowserAgent - a no-code tool built on top of it. BrowserAgent lets you create custom AI workflows using a drag-and-drop interface, all within your browser. This means personalized web summarizers, research assistants, or content generators can all run locally with no cloud costs and full data privacy. Check it out here - https://browseragent.dev Key features include: - No-Code Workflow Builder: Design custom AI agents…

    2025 · browseragent.dev

  17. 17CM

    Here's something I realized: the most AI-native knowledge base isn't a SaaS product with an API. It's a folder of markdown files on your disk. Obsidian stores everything as plain .md files. That means Claude Code (or any AI tool) can grep, read, write, and traverse your entire knowledge base with zero setup. No API keys. No OAuth. No middleware. Just local file I/O. The only missing piece was sync. I wanted my vault on iPhone (iCloud), on Mac (local), and on GitHub (backup + version history) — without paying $4/mo for Obsidian Sync. cc-md is ~400 lines of bash. iCloud handles Apple…

    Feb 2026 · github.com

  18. 18

    Your mind, encrypted. AI that never leaves your phone.

    Mar 2026 · apps.apple.com

  19. 19

    The Anonymous Interface For AI- A Decentralised OpenRouter

    2025

  20. 20RG

    Hey HN, I wanted to share something I’ve been working on: *RAG-Guard*, a document AI that’s all about privacy. It’s an experiment in combining Retrieval-Augmented Generation (RAG) with AI-powered question answering, but with a twist — your data stays yours. Here’s the idea: you can upload contracts, research papers, personal notes, or any other documents, and RAG-Guard processes everything locally in your browser. Nothing leaves your device unless you explicitly approve it. ### How It Works - * Zero-Trust by Design*: Every step happens in your browser until you say otherwise. - * Local…

    2025 · github.com

  21. 21

    The first AI OS with full cognitive transparency

    Dec 2025 · nex-ai-os-site.vercel.app

  22. 22
    Korven2

    AI agents can act. But they have zero security

    Apr 2026 · korven.cc

  23. 23

    The privacy browser with 100% offline AI

    Jan 2026 · cronos.avalw.com

  24. 24PT

    Hi HN, We’re @sumants and @rmehtany, working on Pontus. Pontus makes it easy to use AI with privacy embedded. We were concerned about the volume of personal data that goes to large LLM models without protection. We tried find an easy solution where didn’t change the simple apis given by LLM providers. However, most required you to invest significant engineering effort. We wanted privacy and LLMs to be easy, so we built Pontus. Through a declarative YAML, we orchestrate a microservice with the most common element of the LLM stack. - Anonymize Prompts before it hits LLMs, yet keeps context on…

    2023 · github.com

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