gentle-ai vs mastermind
gentle-ai: Gentle-AI configures your existing AI coding agents with persistent memory, a planning workflow, and a curated skill library, transforming them into a robust engineering environment. It ensures consistent agent behavior across runtimes and machines, enabling verifiable output instead of just agent summaries.; mastermind: Mastermind provides AI coding agents with a structural view of your code, showing components, dependencies, and potential change impact, while offering a verifiable workflow to validate agent plans against the real repository. It aids in understanding unfamiliar repositories, safely modifying code, selecting focused tests, and auditing agent work through its local codegraph and deterministic style miner.
TL;DR
- You want to add persistent memory, skills, a planning workflow and MCP servers to an agent you already run.
- You want to pick components one by one or use presets.
- You want a deny list for ~/.ssh, .env and credential files.
- Your agent does not support sub-agents: the README says some capabilities differ by runtime.
- You only want one piece such as memory and prefer a single focused tool.
- You do not want stylistic extras such as personas and themes in your setup.
Understand unfamiliar repositories
Side-by-Side Comparison
Features
Use Cases
Best For
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.