Memento AGI takes a Jira or Linear ticket and hands back a PR that is already done: proven working on video, green in CI, written to your team's conventions, and pre-reviewed. You review a finished change, not a first draft.
Takes tickets from Jira · Linear · GitHub Issues
Every coding agent can hand you a first pass. Then the real work starts: you take over, get it actually running, chase down the failing tests, fix the conventions it never knew about, and babysit CI until it finally goes green.
That is the current shape of AI coding. The model writes the draft in minutes, and a human spends hours or days finishing it: verifying it works, integrating it properly, catching the newbie blunders before a reviewer does. The bottleneck didn't disappear. It moved to you.
Memento AGI exists to do the finishing.
An LLM alone can't one-shot a ticket. Wrapped in the right machinery, it can. Six phases, none skippable, each one verified before the next begins.
Before a line is written, the agent loads its memory of your codebase from Memento: the architecture, the conventions, the gotchas, and the decisions behind them. Not a cold start. Tenure.
It reads the ticket, researches the affected code, and writes a plan: scope, approach, acceptance criteria. The plan respects the structure your team actually uses, because it remembers it.
The change lands across as many files as it takes, following your commit format, your unit test conventions, your architectural boundaries. Not the model's taste. Yours.
The agent runs the app it just changed: a real browser, driving the real feature, recording video and screenshots. If something is broken, it fixes it and replays, until the recording shows the ticket done.
Type-check, lint, the full affected test suite, integration tests against real infrastructure. Then it pushes, watches your CI, reproduces any failure locally, and fixes until every check passes. A red PR never reaches you.
What lands in your review queue: the diff, the video proof, the green CI run, the resolved review log, and a note on what it learned. Merge-ready, in the literal sense.
A language model can write code. Everything else that makes code shippable is missing. The harness supplies it.
An LLM can't see what it built. The harness opens a real browser, exercises the feature end to end, and records the proof. Screenshots and video ship with the PR.
It doesn't stop at the push. It reads failing CI logs, reproduces the failure locally, fixes it, and re-pushes, until every check passes.
Commit format, test style, PR template, architectural boundaries. Learned once, remembered forever, applied on every run after.
Built on Memento's persistent memory: your patterns, past decisions, tribal knowledge, buried gotchas. That is what makes small tickets in big codebases safe.
Every finished ticket writes back to memory: how the codebase changed, what worked, what to avoid. PR number 100 is built on the lessons of the previous 99.
Every comment a human reviewer leaves is promoted into the guides the next run loads. Correct it once. It stays corrected.
One-shot agents are not a new idea. Others have made the same promise: hand over a ticket, get back a PR. The reason that promise keeps breaking on real codebases is simple: an agent without memory meets your code for the first time, every time.
The hard part of a small ticket in a large codebase is not the code. It's the context: which patterns are load-bearing, which test suite guards this path, what the team decided last quarter and why. That knowledge doesn't fit in a prompt, and it can't be re-derived on every run. It has to be remembered.
Memento AGI is built on the memory system, so the agent that takes your ticket carries the accumulated knowledge of every session, every PR, and every review that came before it. That is the difference between an intern with talent and an engineer with tenure.
When a human reviewer leaves a comment, the correction is saved as a permanent rule and loaded into every future run. Your senior engineers teach it once, not on every PR.
Each completed ticket records how the codebase changed and what was learned, so the agent's map of your system never goes stale.
The agent on its hundredth ticket navigates your codebase like it has been on the team for months. Because, effectively, it has.
One product. Built on Memento's shared team memory.
Ticket to finished PR, autonomously
$49/mo
Early adopter pricing · per developer
Rolling it out to a team? Talk to us.
Write the ticket. Review the finished PR. Free to start, no credit card.