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Research and benchmarks

Gaia

Gaia2 is Meta's test for personal-assistant agents, released in September 2025. The AI operates a simulated phone with contacts, messages, email, calendar, and apps, and gets tasks like "book the dinner and tell everyone who's coming." There are 1,120 scenarios.

The unusual part is that the clock keeps running. While the model is thinking, time passes and things happen: a message arrives, a meeting moves, a friend replies. A verifier checks every change the agent made against what should have happened, including whether it happened in the right order and at the right time. It agrees with human graders 98% of the time. The score is the share of scenarios passed on one attempt.

The scenarios are split by what they test: carrying out a sequence of actions, finding information, spotting a task that's impossible or contradictory and asking instead of guessing, adapting when the situation changes, working against a deadline, coping with tool failures and irrelevant noise, and coordinating with another agent.

The best score at release was 42%, from GPT-5 at its highest reasoning setting, with the best open model at 20%. The ambiguity and time splits are where scores fall hardest, and they're the ones closest to how a real assistant fails: doing the wrong thing confidently, or doing the right thing too late.

4 questions

Answered, plainly.

Two ways to run Tessary.

Tessary is an open-source agent reliability platform. Cloud and self-hosted run the same workflow on the OpenTelemetry traces your agent already emits.

Tessary Cloud

We host it for you. Send your first trace with nothing to deploy and no model key.

what's includedper organization
traces
10,000 per calendar month
stored trace data
1 GB
retention
30 days
model credit
$10, one-time, for triage and root-cause analysis
credit card
not required

Self-hosted Tessary

Run the open-source code on your own infrastructure with one command. Add your own model key for triage and root-cause analysis.

Self-host Tessary for me by following https://github.com/tessaryai/tessary/blob/main/setup.md

docker compose -f oci://docker.io/tessaryai/tessary:compose up -d -y