gentle-ai

Gentle-AI™

The deterministic engineering environment for the AI agent you already use.

Website • Quickstart • Docs • Wiki

Your agent writes code, then forgets everything. It has no opinion about your project, and no way to prove what it did beyond asking you to read every line. Gentle-AI gives it memory, a workflow, and evidence.

See it in action

One prompt, from idea to reviewed commit: memory, workflow, and evidence in a real session.

https://github.com/user-attachments/assets/fa5c0cfe-06e7-4c0d-bd6e-8ac7cb934339

Prefer Spanish subtitles?

https://github.com/user-attachments/assets/6d2bc422-a4dd-4ecf-a04b-fcd3bea7fea9

If Gentle-AI made your agent worth trusting, a star helps other people find it.

WORKS WITH THE AGENT YOU ALREADY HAVE

Pi · OpenCode · Claude Code · Codex · Cursor · VS Code Copilot · Gemini CLI · Kilo Code Kimi Code · Kiro IDE · Qwen Code · Hermes · Antigravity · Windsurf · OpenClaw · Trae · Conductor

17 integrations · native configuration · compare capabilities →

Features

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Engram™ — Keep your project context

The cost of a fresh session is not the tokens — it is you, re-explaining the same decisions every morning. Engram removes that: your agent writes down what it learns as it goes and reaches for it before it reaches for you, so context accumulates instead of resetting.

Docs →

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ODD — Keep small work small

Small changes should not need a planning pipeline, and larger work should not lose its context between sessions. Organic Driven Development (ODD) keeps understood changes lightweight and gives substantial, authorized work one recoverable feature document. The agent explores before changing code, checks the results, and keeps progress current so work can resume without rebuilding the plan.

Docs →

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Test-first by default — Prove each requested rule

ODD applies test-first development by default when a relevant runnable test and a clear expected outcome exist: capture a failing behavior test before implementation, make it pass, then refactor while tests stay green. Each requested rule gets one RED test, each touched existing command or option gets one test proving its previous behavior still holds, and nothing else is padded in. Without a meaningful runnable test, the agent explains the exception and runs applicable functional checks anyway.

Docs →

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RDD — Check finished work at the right depth

Receipt-Driven Development (RDD) is on by default and opt-out: run gentle-ai review mode disable to turn it off. Explicit global or clone-local OFF choices remain OFF. Its point is that a review cannot drift: the candidate is frozen before anything reads it, so the evidence belongs to the exact version you are about to rely on — not to whatever the worktree looked like a moment later. The depth comes from that frozen candidate rather than from the model's judgment, and the result is informational. Commit, push and release stay your call.

Docs →

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Deterministic by design — Know the next valid step

A model that guesses the next step guesses differently tomorrow, and differently again for your teammate. That is the gap between a workflow and a suggestion. The gentle-ai binary owns native RDD review transitions; ODD guidance keeps ordinary work proportional to the request. Review evidence is bound to the candidate rather than a model's recollection.

Docs →

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Gentle Shell — A complete workspace for Pi

Gentle Shell is a separate Pi integration package. Gentle AI configures supported agents; Gentle Shell owns its own Pi runtime, agents, and interface. Installing or updating this binary does not itself establish Pi behavior parity.

Docs →

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17 agents — Keep the agent you already use

Gentle-AI brings its shared workflow to Pi, OpenCode, Claude Code, Codex, and thirteen more agents. Each integration uses that agent's native capabilities, so available features such as delegation and RDD review can differ.

Docs →

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Also in the box

Component	What it does
Skills library	Loaded automatically when the task matches
Context7 MCP	Optional, selectable live framework and library documentation
CodeGraph	Read-only symbol graph of your codebase
Security deny-list	Blocks ~/.ssh, .env and credential files
Config backups	Snapshotted before every single write
Doctor	gentle-ai doctor — read-only health report
Personas	Optional personas; Gentleman is a caring but rigorous mentor who guides you toward your goal
Themes	Gentleman and Gentleman-Cute
Model assignment	Configure supported agent and review-role models where available

Every component, skill and preset: Full breakdown →

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Get started

# macOS (Homebrew)
brew install gentleman-programming/tap/gentle-ai

# macOS / Linux (curl)
curl -fsSL https://raw.githubusercontent.com/Gentleman-Programming/gentle-ai/main/scripts/install.sh | bash

# Windows (PowerShell) — source install of the latest release, needs Go 1.25.10+
go install github.com/gentleman-programming/gentle-ai/v4/cmd/gentle-ai@v4.0.0

gentle-ai          # pick your agents, components and persona
gentle-ai doctor   # veri