mindforger
em
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mindforger | em | |
---|---|---|
10 | 2 | |
2,180 | 251 | |
- | 0.8% | |
9.0 | 9.9 | |
17 days ago | 4 days ago | |
C++ | TypeScript | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mindforger
- Show HN: MindForger โ Attention, LLM is all your note-taking app needs
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Show HN: Reor โ An AI note-taking app that runs models locally
Rear is a really interesting project with admirable goals. I believe this is just the beginning, but you have already done a great job!
I have been working on my note-taking application (https://github.com/dvorka/mindforger) for some time and wanted to go in the same direction. However, I gave up (for now). I used ggerganov/llama.cpp to host LLM models locally on a CPU-only machine with 32GB RAM, and used them for both RAG and note-taking use cases (like https://www.mindforger.com/index-200.html#llm). However, it did not work well for me - the performance was poor (high hardware utilization, long response times, failures, and crashes) and the actual responses were rarely useful (off-topic and impractical responses, hallucinations). I tried llama-2 7B with 4b quantization and a couple of similar models. Although I'm not happy about it, I switched to an online commercial LLM because it performs really well in terms of response quality, speed, and affordability. I frequently use the integrated LLM in my note-taking app as it can be used for many things.
Anyway, Reor "only" uses the locally hosted LLM in the generation phase of the RAG, which is a nicely constraint use case. I believe that a really lightweight LLM - I'm thinking about a tiny base model fine-tuned for summarization - could be the way to go (fast, non-hallucinating). I'm really curious to know if you have any suggestions or if you will have any in the future!
As for the vector DB, considering the resource-related problems I mentioned earlier, I was thinking about something similar to facebookresearch/faiss, which, unlike LanceDB, is not a fully-fledged vector DB. Have you made any experiments with similarity search projects or vector DBs? I would be interested in the trade-offs similar to small/large/hosted LLMs.
Overall, I think that both RAG with my personal notes as a corpus and a locally hosted generic purpose LLM for the use cases I mentioned above can take personal note-taking apps to a new level. This is the way! ;)
Good luck with your project!
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MindForger 1.53.0: Kanban and Eisenhower Matrix on tags, spell check, CSV with OHE tags export and ยต terminal
Please share your suggestions, ideas or constructive criticism! You may install or update from GitHubreleases or PPA.
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MindForger 1.53.0 brings Kanban and Eisenhower Matrix on tags, spell check, CSV with OHE tags export and ยต terminal
I finally managed to complete new MindForger release:
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Forgotten program: Note taking or writing app where you can deep dive into words like a wiki, each one opening further and further to the right...
https://www.mindforger.com/NimbusnoteWikidpadBecause you mentioned writing:
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Our new plugin Graph Analysis lets you discover hidden links in your vault with a '2nd-order backlinks pane'!
Neat, the Similarity type reminds me of MindForger's Associations feature that also displays similarity scores between your current note and other existing notes
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But really, come on now
[Mindfrogger](https://github.com/dvorka/mindforger)
- Is there a tool to compare Github forks?
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Personal knowledge base
Mindforger: https://github.com/dvorka/mindforger/
em
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Problems with using `useFakeTimers('modern')` in a create-react-app (CRA) project with Jest 26 and Lodash's `debounce` function
I kept looking through Github issues and PRs to try and work out what my local application was missing, and why the documentation examples didn't work for me. Eventually, I found this issue and its associated pull request where a contribitor discovered why their use of jest.useFakeTimers('modern') was failing:
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But really, come on now
[em](https://github.com/cybersemics/em)
What are some alternatives?
obsidian-export - Rust library and CLI to export an Obsidian vault to regular Markdown
dendron - The personal knowledge management (PKM) tool that grows as you do!
athens - Athens is a knowledge graph for research and notetaking. Athens is open-source, private, extensible, and community-driven.
dom-testing-library - ๐ Simple and complete DOM testing utilities that encourage good testing practices.
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
github-orgmode-tests - This is a test project where you can explore how github interprets Org-mode files
ultimatepp - U++ is a C++ cross-platform rapid application development framework focused on programmer's productivity. It includes a set of libraries (GUI, SQL, Network etc.), and integrated development environment (TheIDE).
logseq13-full-house-plugin - Logseq Templates you will really love โค๏ธ ๐๏ธ
juCi++
ayu - ๐จ๐ Modern Sublime Text theme
Joplin - Joplin - the secure note taking and to-do app with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.