gentle-ai
Deterministic engineering environment and configuration layer for AI coding agents.
Bring persistent memory, Organic-Driven Development, and rigorous review to 17 existing AI coding tools.
Gentle-AI configures popular AI coding assistants like Claude Code, Cursor, and Pi with persistent context and workflows. It suits developers tired of re-explaining project decisions in every fresh AI session.
What it is
The tool introduces Engram for accumulated project context, Organic-Driven Development for scoping changes, and Receipt-Driven Development for verifiable code reviews. It acts as a shared workflow layer across 17 different coding agents without locking you into a single ecosystem.
Who it's for
It suits software engineers using AI coding agents who want deterministic, test-first workflows and frozen review evidence. It does not suit developers looking for an autonomous agent that operates entirely without structure or testing requirements.
Key features
Engram Persistent Memory
Your agent writes down decisions as it goes so you never have to re-explain context every morning.
Organic-Driven Development
Keeps small tasks lightweight while giving larger authorized work a single recoverable feature document.
Receipt-Driven Review
Freezes candidates before reading them so review evidence matches the exact version you rely on.
Strict Trigger Rules
Enforces specific programmatic reasons for subagent delegation rather than relying on model intuition.
Up and running in 3 steps
Our honest verdict
What's great
- Supports 17 different native AI coding agent integrations including Claude Code, Cursor, and Pi
- Engram memory layer prevents the need to repeatedly re-explain project decisions
- Receipt-Driven Development freezes code candidates to ensure review evidence cannot drift
- Built-in security deny-lists block access to sensitive credential and SSH files
Where it falls short
- Requires familiarity with underlying AI coding agents and terminal usage
- Large tasks can take significantly longer to complete under strict validation rules
- Different agents support varying subsets of features due to native capability limits
Pricing & license
Free under its MIT license. The only cost is running it yourself alongside your underlying LLM and agent API usage.
Open remote AI-training roles
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
Which AI coding agents does gentle-ai support?
It supports 17 integrations including Pi, OpenCode, Claude Code, Codex, Cursor, VS Code Copilot, and Windsurf.
Does gentle-ai replace my existing coding agent?
No, it configures and adds a deterministic workflow layer to the AI agents you already use.
