| --- |
| title: Mycelium |
| emoji: 🍄 |
| colorFrom: red |
| colorTo: indigo |
| sdk: gradio |
| sdk_version: 6.16.0 |
| python_version: '3.13' |
| app_file: app.py |
| pinned: true |
| license: mit |
| short_description: Stop losing ideas. Capture, connect, recall. |
| tags: |
| - build-small-hackathon |
| - backyard-ai |
| - tiny-titan |
| - nvidia-nemotron |
| - off-brand |
| - off-the-grid |
| - field-notes |
| - track:backyard |
| - sponsor:nvidia |
| - achievement:offgrid |
| - achievement:offbrand |
| - achievement:fieldnotes |
| --- |
| |
| # Mycelium — Personal Knowledge Agent |
|
|
| > Capture fast. Think later. Let the system surface what matters. |
|
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| Mycelium is a local-first AI knowledge companion that closes the loop between saving something and actually learning from it. No more screenshot graveyards or forgotten browser tabs. |
|
|
| ## Demo |
|
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| 📹 **[Demo video](https://www.youtube.com/watch?v=Kr7LxRm0JBs)** |
|
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| 📝 **[LinkedIn post](https://www.linkedin.com/posts/ajit3259_mycelium-stop-losing-ideas-capture-connect-share-7472039183830810624-TtU_/)** |
|
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| 📓 **[Field Notes — what I built, what broke, what I learned](https://huggingface.co/blog/build-small-hackathon/mycelium)** |
|
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| ## The problem |
|
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| Everyone has the same graveyard: saved links, screenshots, notes-to-self — all gone dark in a week. The capture habit exists. The recall loop doesn't. |
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| Mycelium fixes the loop. |
|
|
| ## What it does |
|
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| - **Capture** notes, URLs, and images — each processed into a structured summary with intent classification (`learn` / `act` / `reference` / `ephemeral`) and semantic tags |
| - **ASK** — semantic search across your knowledge base with LLM synthesis, follow-up questions, and Feynman self-testing |
| - **BRIEF** — daily digest of what you saved, with synthesis across captures and a weekly thread |
| - **REVIEW** — spaced repetition (SM-2) targeting specific claims from your own notes, not generic flashcards |
| - **GRAPH** — visual map of how your ideas connect via embedding similarity |
|
|
| ## How it works |
|
|
| 1. You capture a note, URL, or image |
| 2. **NVIDIA Nemotron-Mini-4B** extracts the core insight, classifies intent, generates tags and recall questions |
| 3. **Qwen2.5-VL-7B** handles image captures — describe a whiteboard, diagram, or screenshot |
| 4. **BGE-base-en-v1.5** embeds summaries into a 768-dim vector space |
| 5. Related captures link automatically via cosine similarity |
| 6. The surface engine resurfaces what you should revisit, weighted by intent and time |
|
|
| ## Tech |
|
|
| - **LLM**: `nvidia/Nemotron-Mini-4B-Instruct` via HF Transformers + ZeroGPU |
| - **Vision**: `Qwen/Qwen2.5-VL-7B-Instruct` for image capture |
| - **Embeddings**: `BAAI/bge-base-en-v1.5` (768-dim, top MTEB retrieval) |
| - **Backend**: FastAPI + SQLite (persistent at `/data/mind.db`) |
| - **Frontend**: React + TypeScript + Tailwind CSS |
|
|
| ## Prizes targeting |
|
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| - **Backyard AI** track — practical tool solving a real daily problem |
| - **Tiny Titan** badge — Nemotron-Mini-4B drives all text intelligence (4B parameters) |
| - **NVIDIA** — built on `nvidia/Nemotron-Mini-4B-Instruct` |
|
|
| ## Built with |
|
|
| Built for the [Build Small Hackathon](https://huggingface.co/build-small-hackathon) · June 2026 |
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|
