AI & LLMs
Self-Improving Agent
Captures what worked, what failed, and project-specific conventions after each task. Your agent builds a living playbook - fewer repeated mistakes, faster onboarding on new repos, compounding quality over weeks.
Setup
One-click install on AITools Cloud - then follow these steps:
- 1Install Self-Improving Agent from Skills → AI & LLMs.
- 2Enable memory storage on your instance (included on all plans).
- 3Point it at your repo or project folder.
- 4Run 2–3 real tasks so it can seed initial learnings.
- 5Review the generated playbook in dashboard → Memory.
Requirements
- Git repo or project workspace connected
- Memory feature enabled (default on AITools Cloud)
- Best with coding / dev workflows
Example prompts
Copy these into Telegram, WhatsApp, or web chat after install.
You ask
“Fix the failing auth tests and remember our JWT mocking pattern.”
Agent delivers
Tests pass; pattern saved to playbook for future auth-related tasks.
You ask
“Refactor the checkout module - follow our existing service layer style.”
Agent delivers
Refactor matches conventions; style rules appended to project memory.
You ask
“What have you learned about this codebase so far?”
Agent delivers
Returns structured playbook: patterns, gotchas, preferred libraries, test commands.
Install Self-Improving Agent on your agent
Pick a plan, we spin up your instance with skills ready to install in one click.
Get started