What is inter-agent misalignment?

Inter-agent misalignment is the failure category where agents miscommunicate, lose context during a handoff, or return results that contradict each other, as distinct from one agent simply getting its own task wrong. The MAST taxonomy, built from more than 1,600 annotated traces across seven multi-agent frameworks, names it as one of three root-cause categories alongside specification issues and task verification, and it accounts for 36.94 percent of the failures MAST annotated.

The distinction matters operationally. When a downstream agent’s score drops, the default move is to fix that agent, and that agent is usually fine. The cause sits at the seam: an earlier agent’s prompt changed, or a tool it calls started returning different data, and the output it passed along still reads as valid to anything checking it in isolation. A per-agent grader has no visibility into the handoff itself, so it never sees the seam where the failure actually happened.

sources

keep reading

More on this.

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