Atlaso Review

$10 a month per person. Free for one device. At that price the approval conversation is shorter than the evaluation.

Two things stand out. One: it works across Claude Code, Cursor, Codex, Claude Desktop, OpenCode and Antigravity, so it fits a team that hasn't standardised on one tool — which is most teams right now. Two: contradictions are flagged and the outdated version retired, rather than both sitting in the store waiting to mislead someone.

What I can't judge from the outside is capture quality. The whole product rests on deciding what's worth keeping, and no accuracy figure is published. Run it with four engineers for a month and ask them whether recall was right more often than it was wrong. Cheap enough to answer empirically.

The structural choice is where memory lives. Each AI tool ships its own context file, scoped to that tool and usually to one repo. Atlaso moves the store to the account and gives every connected tool read and write access, with personal memory following the user and project memory isolated per project.

If we adopt this, the interesting property is the confidence layer. Recall runs keyword and semantic search, ranks candidates, drops anything under a 0.5 relevance floor, and hands the model a delimited block. Contradiction handling retires superseded facts instead of letting two truths coexist. That is closer to a knowledge system than a note store.

The ceiling is scope. It is a single-user memory today, with no shared team layer described anywhere I could find.

Free, $10, $25. Monthly only. No annual plan, which means no upfront commitment and no discount either.

Twenty engineers on Pro is $200 a month, $2,400 a year. That sits below most single-seat developer tools and roughly at the price of one seat of a mid-tier SaaS. The Build tier at $25 is flat with fair-use limits and no per-call charges, so an embedded use case doesn't create a usage meter to forecast.

Switching cost is the number I like. JSON export is included on paid plans, memories survive a downgrade, and extra devices get a five-day grace window. EU and UK buyers keep a 14-day refund right. Cancelling costs you a click and the rest of the month you already paid for.

Recall lands in a delimited ATLASO MEMORY block ahead of your prompt, so you can read exactly what the model was told before it answered. Anything scoring under 0.5 relevance doesn't make it in. Both details matter — silent context injection is how you end up debugging an answer that came from a stale fact you forgot existed.

Capture runs in the background and the vendor states it never blocks a turn. Secrets are redacted before storage, which is the right default given how often a key ends up pasted into a terminal session.

The daily friction is scope discipline. Project memory is isolated per project, so a monorepo with six services is one memory, not six. Nothing I could find describes finer scoping than that.

One command to install on macOS, Linux or Windows, and then nothing to manage. You work, it listens, and the next tool you open already knows the decision you made in the last one. That's the entire promise and it's a good one.

The dashboard surprised me. Memories formed, recalls, contradictions, facts confirmed, even a maturity score. It's the kind of screen you check twice in week one and then forget, but it's how you learn whether the thing is actually paying attention or just accumulating.

The part that would make me hesitate is that it reads everything. They say secrets are scrubbed and nothing is trained on, and I believe the intent. It's still a lot of trust to hand a young product on a $10 plan.

A memory product's natural business model is accumulation. Leave and you lose two years of context. Atlaso ships JSON export on paid plans and keeps memories after downgrade or cancellation. That's the opposite move, and worth noting.

What's not settled: it reads your sessions. Secrets scrubbed, never trained on, never sold — all stated by the vendor, none certified by anyone. No compliance page. No security page. For a tool sitting inside a terminal where credentials get pasted, scrubbing is the single most load-bearing feature and there's no published test of it.

Ambient Memory is labelled experimental in their own dashboard. Honest, and a reminder of how young this is. Fair for a $10 product. I'd start with one non-sensitive project.