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Software Development & Delivery · Public

komi-learn

Continuous memory and self-improvement for coding agents. It learns how you work and recalls it automatically, with no commands. Works with Claude Code and Codex.

Publication status · 2026-05-31

What is komi-learn?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

CapabilityPortable AI capability asset

Continuous memory and self-improvement for coding agents. It learns how you work and recalls it automatically, with no commands. Works with Claude Code and Codex.

Repositorykurikomi-labs/komi-learn

stars unavailable · forks unavailable

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Overview

Related topics: Installation Guide, System Architecture

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
2

Installation Guide

Related topics: Overview

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
3

System Architecture

Related topics: Host Adapters, Core Engine Components, Recall System

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
4

Host Adapters

Related topics: System Architecture

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
5

Core Engine Components

Related topics: System Architecture, Recall System, Distillation Process

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual

Sources: https://github.com/kurikomi-labs/komi-learn, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Starsstars unavailable
Forksforks unavailable
Contributorscontributors unavailable
Licenseunknown

Community Discussion Evidence

1 source-linked item

Review these external discussions before using komi-learn with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
pip install komi-learn

Official start command · https://github.com/kurikomi-labs/komi-learn#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

komi-learn Manual

Related topics: Installation Guide, System Architecture

Open the full manual
  1. https://github.com/kurikomi-labs/komi-learn Project Manual
  2. Table of Contents
  3. Overview
  4. Related Pages
  5. Purpose and Scope
  6. Architecture Overview
  7. Host Adapter Layer
  8. Learning Engine
1

Overview

Related topics: Installation Guide, System Architecture

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
2

Installation Guide

Related topics: Overview

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
3

System Architecture

Related topics: Host Adapters, Core Engine Components, Recall System

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
4

Host Adapters

Related topics: System Architecture

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual
5

Core Engine Components

Related topics: System Architecture, Recall System, Distillation Process

Source: https://github.com/kurikomi-labs/komi-learn / Human Manual

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

07

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.