NumbyAI – Self-hosted personal finance app powered by a local LLM
Local LLM categorizes transactions — your bank data never leaves your machine.
A ohmyzsh plugin that automatically debugs failed terminal commands using a local LLM via Ollama. Local-only, privacy-first, and focused on one thing: **fix what just broke**. No cloud. No API keys. No background daemons.
Local LLM debugging with sanitization fallback before cloud share — clever privacy approach.
Terminal-heavy developers using Oh My Zsh and Ollama locally
Warp.dev · zsh-copilot
So, I built Sleuther, a Oh My Zsh plugin that asks a local LLM via Ollama to explain and debug errors directly in the terminal. Right now I am using Qwen2.5-Coder.
At a previous job, I used warp.dev extensively and was missing its agent mode. Sleuther is inspired by warp and zsh-copilot.
No copy paste, no cloud, no context switching.
Also, has a small trick: if the local LLM cannot help after a couple attempts, it suggests a sanitized version of the error, stripping usernames, paths, and hostnames before sharing with ChatGPT or Claude. The sanitization is rather rudimentary right now but something I want to improve.
Curious if anyone else is experimenting with local LLMs for dev workflows?
Local LLM categorizes transactions — your bank data never leaves your machine.
Schema validation + retry for AI pipelines, but already solved by Pydantic, Marvin, and structured outputs.
Zsh wrapper around existing LLM APIs; Claude Code and Copilot already do diff review.
Subdomain routing means zero /etc/hosts edits—just change base_url and capture everything.
zsh wrapper that auto-corrects typos and runs Claude Code—no shell config changes.
Webhook relay with built-in debugging — Svix and ngrok already own this space though.