Lore
Lore: Native macOS Playground for LLM Prompt Engineering
Lore is a native macOS app that turns prompt engineering into a structured workflow with automatic versioning, full-text search, and cost tracking across LLMs.
Overview
Lore reimagines what a local LLM playground can be by building it natively for macOS with Cocoa, SwiftUI, and SQLite under the hood. Instead of losing track of prompt iterations in scattered chat windows, Lore automatically versions every generation, letting you time-travel back through your prompt history, compare variants, and mark the outputs worth keeping. It's built specifically for the messy, iterative reality of prompt engineering rather than treating prompts as disposable text.
Beyond version control, Lore adds practical engineering tooling: full-text search across your entire prompt library, model-cost awareness so you can see what each experiment is actually costing, and combinatorial runs that let you test multiple prompt variables at once. It supports custom endpoints and local models alongside major hosted LLMs, plus quality-of-life features like tables, syntax highlighting, LaTeX rendering, notes, export options, keyboard shortcuts, Vim mode, and sandboxing for safer experimentation.
The result is a tool that feels less like a chat client and more like an IDE for prompts — purpose-built for researchers and developers who iterate constantly and need a reliable record of what worked, what didn't, and what it cost to find out.
Capabilities & Features
- LLM playground
- Prompt engineering
- macOS application
- Time travel
- Versioning
- Full-text search
- Model-cost aware
- Large language models
- AI development
- SwiftUI
- Cocoa
- SQLite
Core Features
- Time travel and automatic versioning of prompts
- Full-text search across prompt history
- Model-cost awareness for tracking LLM spend
- Combinatorial runs for testing multiple variants at once
- Support for custom endpoints and local models
- Built-in tables, syntax highlighting, LaTeX, and notes
Use Cases
- Iterating on and refining prompts for production LLM applications
- Comparing outputs across multiple models or configurations side-by-side
- Monitoring and controlling API costs during heavy experimentation
- Maintaining a searchable archive of prompt history and generations
- Running structured, combinatorial prompt experiments for research
Best For
- Prompt engineers
- AI researchers
- Developers working with LLMs
- Data scientists
Pros
- •Native macOS performance with a purpose-built SwiftUI interface
- •Automatic versioning removes the need to manually track prompt changes
- •Cost awareness helps prevent surprise API bills during experimentation
- •Flexible model support including local models and custom endpoints
- •Power-user features like Vim mode and keyboard shortcuts speed up workflows
Cons
- •macOS-only, so Windows and Linux users are excluded
- •No published pricing information available, making budgeting decisions unclear
- •Advanced features like combinatorial runs may have a learning curve for new users
- •Reliance on local SQLite storage may complicate syncing across multiple machines
How to Use
1. Download and install Lore on a Mac running macOS 13 or later. 2. Open the app and connect to your preferred LLM provider, custom endpoint, or local model. 3. Write and run prompts, using combinatorial runs to test multiple variables at once. 4. Review generated variants, mark the notable ones, and use time travel to revisit earlier versions. 5. Search your full prompt history with full-text search when you need to find past work. 6. Monitor model costs as you experiment, and export or annotate results with notes for future reference.
Frequently Asked Questions
Connect & Contact
Pricing
No pricing details are currently published for Lore, so prospective users will need to check directly with the developer for licensing or subscription information.
Pricing data is provided as a summary. Visit the vendor website for full tier details.