client
mindforger
client | mindforger | |
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7 | 10 | |
350 | 2,187 | |
2.0% | - | |
9.2 | 8.9 | |
2 months ago | about 1 month ago | |
Elm | C++ | |
MIT License | GNU General Public License v3.0 only |
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.
client
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Show HN: I built a non-linear UI for ChatGPT
Interesting take! It does seem to address a typical "intermediate" workflow; even though we prefer linear finished products, we often work by completing a hierarchy first. I've been using Gingko [1] for years, I find it eases the struggle of organizing the structure of a problem by both allowing endless expansion of levels, and easily collapsing it into a linear structure.
In your case, do you hold N contexts (N being the number of leaves in the tree)? Are the chats disconnected from each other? How do you propose to transition from an endless/unstructured canvas to some sort of a finished, organized deliverable?
1: https://gingkowriter.com/
- Show HN: Structpad: notepad-database hybrid that helps you use abstract thinking
- How do you organize homeschooling and what software tools do you use
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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...
In re-reading your post, it occurred to me that you might also want to look at parallel/ horizontal outliners like gingko https://gingkowriter.com/ or https://gingkoapp.com/ (there was talk of a desktop app) https://wavemaker.co.uk/blog/wavemaker-version-3-is-live Evergreennotes https://evergreennotes.com/ (I believe it is inspired by https://andymatuschak.org/ technique). speare.com and https://transno.com/ and https://innos.io are similar in look and feel (same development team I believe)
- A different approach to note-taking and research
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How to keep track of/plan writing?
I haven't used this on a document as large as the final PhD manuscript, but I feel like it might be helpful to you: https://gingkowriter.com/
- Treesheets app: cross-platform, free-form data organizer d
mindforger
- Show HN: MindForger – Attention, LLM is all your note-taking app needs
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Show HN: Reor – 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 µ 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 µ 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/