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AI · alternatives · 2026

24 alternatives to Recall Local

Offline"Corporate Brain" to organize files & chat with data

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

    2024 · recurse.chat · its alternatives →

  2. 2

    Chat with everything you’ve read, heard, watched, or noted

    2024 · recall.it · its alternatives →

  3. 3

    An open source approach to locally record everything you view on your Apple Silicon computer. Note: Relies on Apple Silicon, and configured to only produce Apple Silicon builds. I think the idea of recording everything you see has the potential to change how we interact with our computers, and believe it should be open source. Also, from a privacy / security perspective, this is like... pretty scary stuff, and I want the code open so we know for certain that nothing is leaving your laptop. Even logging to Sentry has the potential to leak private info.

    2023 · github.com · its alternatives →

  4. 4

    Free local transcription that is 100% Private

    Aug 2026 · hynote.ai · its alternatives →

  5. 5

    The easiest way to chat with local AI

    2025 · ollama.com · its alternatives →

  6. 6

    Summarize, connect and organize ALL your online content

    2023 · recall.it · its alternatives →

  7. 7

    This lets you talk to local LLMs in Apple Notes. I saw Obsidian Ollama (https://github.com/hinterdupfinger/obsidian-ollama) and thought it was handy, but I'm too lazy to migrate away from the Apple ecosystem, so I quickly hacked this together. I tend to use Notes as a scratchpad for prompts, so it's nice to do some quick inference without leaving the app. Notes doesn't really support plugins so I'm using the macOS accessibility API for reading selections and then stream responses using the clipboard (not ideal but it works).

    2024 · smallest.app · its alternatives →

  8. 8

    The Meeting recall tool

    2020 · meetmyna.com · its alternatives →

  9. 9

    A searchable photographic memory for your digital life

    2016 · atlas.co · its alternatives →

  10. 10

    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 · its alternatives →

  11. 11

    Open source solution for long term memory for LLMs

    2024 · github.com · its alternatives →

  12. 12

    Control your Mac with your voice locally

    Jun 2026 · github.com · its alternatives →

  13. 13

    Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall

    Jun 2026 · github.com · its alternatives →

  14. 14

    Hi everyone, Just wanted to share a use case where local LLMs are genuinely helpful for daily workflows: file organization. I've been working on a C++ desktop app called AI File Sorter – it uses local LLMs via `llama.cpp` to help organize messy folders like `Downloads` or `Desktop`. Not sort files into folders solely based on extension or filename patterns, but based on what each file actually is supposed to do or does. Basically: what would normally take me a great deal of time for dragging and sorting can now be done in a few. It's cross-platform (Windows/macOS/Linux), and fully…

    2025 · github.com · its alternatives →

  15. 15
    Lore▲130

    I built Lore because I kept losing knowledge — curl commands, quick notes from standups, and that one thing I told myself I'd remember. It lives in the system tray, a global shortcut pops it up, you type naturally, and it stores or retrieves automatically. Everything runs locally via Ollama + LanceDB — no cloud, no API keys. It classifies your input (thought, question, todo, instruction) and uses a RAG pipeline to answer recall queries from your own stored context. It's free and open source under MIT license, and even though its in very early version me and my friends have been using it for…

    Mar 2026 · github.com · its alternatives →

  16. 16

    I've been working on this tool that lets you build a personal knowledge graph from articles, blog posts, podcasts, YouTube videos, and other content you find interesting online. You can safely forget everything and trust that Recall will resurface it when something new that is related comes up. Looking forward to your thoughts and feedback on how it could be improved! The original version of Recall was posted last year nov on HN: https://news.ycombinator.com/item?id=33425947 Since then I have pivoted to a browser extension.

    2023 · recall.wiki · its alternatives →

  17. 17

    Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory

    Dec 2025 · github.com · its alternatives →

  18. 18

    Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend. - zaydmulani09/mnemo

    Jun 2026 · github.com · its alternatives →

  19. 19

    How It Works - Offline Indexing: Docs are processed and embedded using the GTE-small model at build time. Browser-Based Magic: - SQLite database (stored in the browser) for vector search. - Local embedding model for query processing. - Local LLaMA model for response generation using WebLLM. - Everything Happens Locally: No data leaves the user’s device. Key Benefits - No API Costs: Everything runs in the browser—zero backend expenses. - Unlimited Chats: No rate limits or usage restrictions. - Privacy-First: Your data stays on your device, always. You can find the code here:…

    2024 · docs.akiradocs.ai · its alternatives →

  20. 20RM

    Recall Memory is a free Sandboxed Mac App which let's you scroll through time and allows you to "Recall" what you were doing earlier. Recall works by capturing the active window every second and only saves screenshots with significant changes. Making it easy to scroll through what you were doing earlier. All data is processed and always stored locally.

    2024 · recallmemory.app · its alternatives →

  21. 21AL
  22. 22

    Hello HN, I built Minute because I wanted searchable meeting notes without sending recordings or transcripts to a cloud service. It captures microphone and optional system audio, transcribes locally with Whisper, and generates summaries, decisions, and action items using a local LLM through llama.cpp. After the initial model download, everything runs on-device and in-process. There’s no account, server, or telemetry. The app is built with Tauri, Rust, React, and Metal acceleration. Notes are stored locally as plain text, JSON, and WAV files. I built the project end-to-end with Codex as a…

    Jul 2026 · github.com · its alternatives →

  23. 23

    I wrote a small local tool to transcribe audio notes (Whisper/Parakeet). Code: https://github.com/bilawalriaz/lazy-notes I wanted to process raw transcripts locally without OpenRouter. Llama 3.2 3B with a prompt was decent but incomplete, so I tried SFT. I fine-tuned Llama 3.2 3B to clean/analyze dictation and emit structured JSON (title, tags, entities, dates, actions). Data: 13 real memos → Kimi K2 gold JSON → ~40k synthetic + gold; keys canonicalized. Chutes.ai (5k req/day). Training: RTX 4090 24GB, ~4h, LoRA (r=128, α=128, dropout=0.05), max seq 2048,…

    2025 · bilawal.net · its alternatives →

  24. 24

    A local memory of everything you have seen, said or heard while you work at your computer. - Rafaelpta/litepipe

    Jul 2026 · github.com · its alternatives →

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