# memwalk > Walk through your work memory. A local-first CLI that watches your git activity (and optionally your shell history) and feeds it into a Mamba-based LLM via persistent state. You can then ask in plain English what you were doing last week, why you started that branch, or generate a standup from yesterday's commits — without your data ever leaving the machine. Built on **[memba](https://github.com/emil28092005/Memba)** for state persistence and **[NVIDIA Nemotron-3-Nano-4B](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF)** (or any other GGUF SSM/hybrid model) for inference. ## Status v0.1 — alpha. Works end-to-end on Linux for the maintainer; APIs and on-disk format may change. ## Install ```bash # Until memba is on PyPI, install both editable from local clones: pip install -e /path/to/Memba pip install -e /path/to/memwalk ``` Make sure you have a GGUF Mamba-2 or hybrid model. Recommended: ```bash hf download nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF \ NVIDIA-Nemotron3-Nano-4B-Q4_K_M.gguf \ --local-dir ~/.memwalk/models ``` ## Quickstart ```bash memwalk init # interactive setup memwalk update # ingest last 30 days of git+bash memwalk standup # auto-generate daily standup memwalk ask "What was I working on last week?" memwalk status ``` ## What it actually does `memwalk update` walks your configured git repos and (optionally) your bash history, formats new events into a readable activity block, and feeds that into the SSM model. The model's hidden state — a fixed ~85 MB blob — is saved to `~/.memwalk/current.memb` via memba. `memwalk ask` and `memwalk standup` load that state and query it. The model recalls themes, projects, and trajectory across processes and reboots. ## Layout ``` ~/.memwalk/ ├── config.toml ├── current.memb ← rolling state ├── last_update.txt └── snapshots/ └── 2026-05-16.memb ← daily snapshot before each update ``` ## License MIT.