Memento AGI
Describe a feature. Your AI plans, builds, tests, reviews, verifies in a real browser, and ships a PR — autonomously.
The insight
Building a feature isn't one prompt. It's a sustained effort: understanding the codebase, planning the approach, writing the code, testing it, reviewing it, fixing what broke, testing again, verifying it works, shipping it.
Without memory, an AI can't do this. It doesn't know your codebase. It doesn't remember what it built in step 3 by the time it reaches step 6. It doesn't know your team's coding standards. It starts from zero every time.
With memory, everything changes. The AI knows your architecture, your patterns, your past decisions. It carries context across every step. It builds on what it learned yesterday. That's what makes the autonomous loop possible.
The autonomous loop
Eight steps. Fully autonomous. Transparent at every stage.
That's it. That's your entire contribution.
The AI searches its memory: your project's architecture, your component library, your API patterns, your database schema, that bug you fixed last week with drag events. It arrives at the task already knowing your codebase like a senior engineer who's been on the team for months.
A brainstorm. A mini tech spec. A phased execution plan. All of this appears in your Memento Cloud dashboard — you can read it, comment on it, or just let it proceed.
Phase by phase, the AI implements the plan. It follows your codebase's established patterns — because it remembers them. Type checks pass. Lint passes. It's writing code that fits.
Before anyone sees it, the AI runs a peer code review against your org's actual coding standards — stored in Memento, not generic best practices. Style violations, security issues, performance concerns: caught and fixed before the PR exists.
The AI writes integration tests and runs them. Not just unit tests — tests that exercise the feature end-to-end. If something fails, it reads the error, diagnoses the issue, fixes it, and runs the tests again. It iterates until green.
The AI opens your local dev server in a browser. It navigates to the feature. It interacts with it. If the kanban board doesn't render, or drag-and-drop doesn't work, or the API returns an error — it sees it, fixes it, and checks again. It keeps iterating until the feature works.
Proof recording
Annotated screenshots from a real AGI verification run appear here
Commit. Push. PR created with a clear summary. CI monitored. If CI fails, it pulls the logs, fixes the issue, and pushes again. The feature is delivered.
The plan, the code review findings, the test results, the verification log — all stored in your Memento Cloud dashboard. You're not trusting a black box. You can see exactly what the AI did, why, and whether it worked. Intervene at any point, or just check in when it's done.
Not a demo
Other tools demo AI writing a function. This is the complete development lifecycle — planning through verification — running autonomously on your real codebase.
Every feature it builds, every bug it fixes, every pattern it discovers — it remembers. The AI that ships your 50th feature is dramatically more capable than the one that shipped your first.
Code reviews use your org's actual coding standards, stored in Memento. Your rules. Your conventions. Your definition of “good code.”
Your org, your rules
Memento AGI adapts to how your team works. The AGI Config dashboard lets you define your coding standards, testing strategy, commit conventions, and communication style — then every /mm/complete-task run follows them automatically.
Coding conventions, testing strategy, commit conventions, PR workflow, project structure. The AI reads these before writing any code.
Your repo, base branch, lint patterns, and custom review instructions. Powers the AI peer review step.
How the AI writes PR descriptions, review responses, and commit messages. Your team's voice, not a generic LLM tone.
Build, test, lint, and serve commands. The AI needs to know how to run and verify your project.
All configuration is stored in Memento Cloud and editable from your dashboard.
Solo developers
10x your output. Let the AI handle features while you focus on architecture and product.
Small teams
Senior-level productivity without senior-level headcount.
Engineering leads
Delegate well-defined features to an AI that actually follows through.
Anyone tired of babysitting
Stop explaining your architecture on every prompt. Start shipping.
Pricing
Memento AGI is a separate product built on top of Memento. You need a Memento account (free or paid) to use it.
Don't have Memento yet? See Memento plans — the free tier works.
Autonomous coding agent
$29/mo
per developer · add-on to any Memento plan
For teams shipping at scale
Custom
It writes and runs tests via your local dev environment using your existing test framework (Jest, Vitest, pytest, etc.). For browser verification, it automates Chrome via your local dev server. Nothing runs in the cloud.
Everything is transparent. The plan, reviews, and verification log are all in your dashboard. The AI iterates until verification passes, but you can intervene at any point. Nothing is pushed without going through quality gates.
This is where Memento shines. The AI's memory includes deep codebase investigations, architectural maps, and pattern catalogs. It handles large codebases better than any stateless tool because it has context that persists across sessions.
Any. The AI uses your project's existing toolchain. React + Express, Python + Flask, C# + ASP.NET — whatever your stack is. Memory is language-agnostic.
The execution plan and state updates are stored in Memento Cloud. Open the dashboard and watch progress in real time. The verification log records every quality gate result.
Get Memento free, then add AGI when you're ready for autonomous coding.