Personal Agent Bench

Agent benchmarks, and what they miss

There is no shortage of agent benchmarks. Almost none of them measure a personal agent.

SWE-bench asks whether a model can close a GitHub issue. GAIA asks multi-hop research questions. BrowseComp buries a fact and sees who keeps digging. All useful. None of them tells you whether something can book a flight while remembering you refuse red-eyes, or run a routine every Monday without being asked.

The table is the short version: what each one is actually measuring, and the thing it structurally can't see.

BenchmarkWhat it measuresWhat it can't tell you
GAIAAssistant-style questions that need several steps, a browser and sometimes a file to answer.Every question arrives cold. Nothing carries over from the last one, so a system that remembers you scores exactly the same as one that doesn't.
BrowseCompFinding facts that are genuinely hard to find, which mostly tests whether an agent keeps digging.Reading, not doing. Nothing is booked, cancelled, paid for or sent.
WebArenaCompleting tasks inside a browser on self-hosted sites, so the environment stays identical between runs.The sites aren't yours and hold nothing about you. No saved cards, no order history, no account that remembers.
OSWorldDriving a real desktop and its applications rather than a browser tab.Skill, not memory. It asks whether an agent can operate the machine, never whether it knows why you'd want it to.
Tau-benchHolding to a domain's rules across a conversation with a user, and doing it consistently when the same task is run again.The user is simulated and the domains are narrow, but this is the closest thing on the list to what a personal agent actually does.
AgentBenchOne agent across several unrelated environments, which is a decent proxy for general competence.None of the environments is your life. No calendar, no inbox, no bill to dispute.
Terminal-BenchWork at a command line, where success is unambiguous and cheap to check.Almost nothing a personal agent does happens at a terminal.
AssistantBenchRealistic web tasks that take a while, which is closer to an errand than most of this list.Still one-shot. No standing preferences, no routine that fires next Monday.
Qualitative only, on purpose. Leaderboard numbers and task counts belong on the per-benchmark pages, and those pages ship once the numbers are verified against the source rather than a summary of it.

Pages written so far: GAIA. The rest are in the queue, and each one waits until its leaderboard numbers have been pulled from the source rather than copied off a screenshot.

Why we built a different one

Every row above shares a blind spot: the agent arrives with no history and leaves with none. That's the right call for a research benchmark and the wrong one for judging a product you'd hand your accounts to, which is why this scorecard asks where the model runs, how a tool reaches it and who can read your memory instead.

Start with a teardown, or read how we score.