Extract (financial) data from emails with local LLM
Local LLM email parsing when Plaid and receipt scanners already exist.

Demo mode with synthetic data lets you try before connecting real email.
Developers who live in the terminal and want email without GUI bloat
Mutt · Alpine · aerc
Some time ago I tried to find a way to clean up my 10k emails inbox and could find anything which worked for me. So I built built my own tool which evolved into a client.
More that out of necessity but for fun add semantic search, LLM based tagging, and clean up rules through Ollama.
It has a demo mode to try without configuring anything.
On Mac:
brew tap herald-email/herald brew install herald herald --demo
With Go:
go install github.com/herald-email/herald-mail-app/cmd/herald@latest herald --demo
The DEMO uses pre-populated synthetic data so no risk for your inboxes.
Any feedback will be highly appreciated.
Local LLM email parsing when Plaid and receipt scanners already exist.
Email as stateful context layer for agents—MCP servers make this first-class integration.
Transparent benchmarks show 39% cost cuts — rare to see real numbers in AI tooling.
Local LLM debugging with sanitization fallback before cloud share — clever privacy approach.
RazorConsole TUI is a clever touch, but Aider dominates the local CLI agent space.
94% GPU reduction claim needs verifiable benchmarks to stand out.