Hand your LLM a Jira ticket. 20-30 minutes later, get back a completed PR you can trust.
Memento AGI is the top tier of Memento. See pricing
The reason humans were still required in the development loop was simple: an LLM had no way to learn your codebase. Memento solved that.
Knowing the codebase isn't enough on its own. Turning a Jira ticket into a PR you can trust - planned, browser-verified, tested, code-reviewed, and written to your team's conventions - takes a few more pieces: planning, an execute-and-verify loop, parallel AI code review, quality gates, and convention enforcement.
Memento AGI is the system that wires those pieces together on top of memory.
Most steps toggle on or off. A core spine always runs: plan, execute, commit, ship. Approval gates go wherever you want them. Environment-specific details (how to start the app locally, which quality commands to run, your branching strategy) are pulled from your org's configuration guides. Nothing is hardcoded.
Reads your org's guides, flow config, and pipeline overrides. Everything downstream obeys them.
Reads from Jira, GitHub Issues, Linear, or plain text. Creates a feature branch named to your team's convention.
Searches Memento for relevant context - past implementations, patterns, architectural gotchas.
Analyzes the task, explores approaches, and writes a mini technical specification. Creates a persistent project folder the AI can reference in future sessions.
Breaks the spec into implementation phases with an approval gate. You review the plan before any code is written.
The core of the pipeline. For each phase, the AI implements in baby steps. After each meaningful change it opens your dev server in a real browser, navigates to the feature, interacts with it, and screenshots the result. If something is wrong, it fixes it immediately. This build-verify-fix cycle repeats continuously until the phase is complete.
Writes throwaway tests hitting real endpoints. Fixes bugs found. Discards tests after.
Up to 5 independent AI reviewers analyze the diff against your standards in parallel. Findings fixed automatically and re-reviewed.
Scans for forbidden patterns. Runs type-check, tests, lint. Nothing commits with violations.
Generates a commit message per your conventions. Shows the full diff before push.
Creates a PR with summary, updates the issue tracker, and monitors CI until green.
Distills learnings back into memory. The pipeline gets better with every task.
Every diff the pipeline produces is grounded, verified, tested, reviewed, informed, and written to your house style.
Before writing a line, the agent traverses dozens of linked memory nodes covering the exact code area it's touching plus the surrounding architectural and conceptual context. The diff is grounded in how your system actually works - not a generic LLM's idea of how it might.
After each change, the agent exercises what it just wrote: a browser for UI, an API call for endpoints, direct invocation for everything else. Anything broken gets fixed and re-verified in a tight loop. Delivered means working, not just compiling.
Type-check, lint, unit tests, and throwaway integration tests against your real endpoints - all green before commit.
Independent reviewers, each loaded with full ticket and codebase context, scrutinize the diff in parallel. Findings are auto-resolved and re-reviewed until clean.
Every nit your team caught on previous PRs becomes a memory the AI checks against. Your reviewers never have to flag the same thing twice.
Coding style, branching strategy, commit format, and PR template come from your org's guides. House style - not the AI's.
Whether you want a formal, gated pipeline or a fluid task queue, Memento AGI adapts to how you build.
A full 12-step pipeline with approval gates at every decision point. You stay in the loop where it matters; the machine handles the rest.
YOU /complete-project PROJ-1842 ✓ Loaded org config & dev environment ✓ Parsed ticket, created branch feat/PROJ-1842 ✓ Recalled 4 relevant memories ✓ Plan: 3 phases, 7 files » Awaiting plan approval… YOU Approved. Ship it. ✓ Phase 1 done, browser verified ✓ Phase 2 done, browser verified ✓ Phase 3 done, browser verified ✓ 5 AI reviewers: 2 findings, both fixed ✓ Quality gate passed, committed, PR created Elapsed: ~25 minutes
Add tasks to the queue. They appear minutes later on your target environment, built and tested. Multiple agents work your backlog in parallel.
YOU Can you work on the remaining engineering tickets? AGI Pulling 17 open tickets… ✓ T-519: Queue page width ✓ T-520: Duplicate buttons ✓ T-521: Remove Capture Run ✓ T-522: Scroll position ✓ T-523: Label filtering ✓ T-524: Tier enforcement …plus 11 more tickets AGI All 17 tickets complete. Elapsed: one conversation
Configure per-org from the AGI Config dashboard. Approval gates, code reviews, and autonomy level adjustable anytime.
Memento AGI is the top tier of Memento. You get the entire Pro plan plus everything below.
Every step on/off. Gates, reviewers, and checks wherever you want them. Nothing hardcoded.
Gated at every decision, fully autonomous, or anything in between. Adjustable per org.
Drop tickets into the queue and walk away. Multiple agents work the backlog in parallel.
Independent reviewers running in parallel. Findings auto-resolved and re-reviewed.
The agent drives a real browser to verify every change before committing it.
Every step, tool call, and decision is traced. Full audit trail for compliance and debugging.
Memento AGI is the top tier of Memento. Includes everything in Free and Pro.
Autonomous AI development
$49/mo
Early adopter pricing · per developer
For engineering orgs
Custom
Volume pricing · SSO · SOC 2
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