Safety

MAST (Multi-Agent System Failure Taxonomy)

MAST: per-trace annotations of 1242 multi-agent LLM system execution traces across 7 frameworks (ChatDev, MetaGPT, AppWorld, AG2, HyperAgent, Magentic, OpenManus) for 14 failure modes from the Multi-Agent Systems Failure Taxonomy. Each (system, trace) cell is labelled present/absent for each of the 14 failure modes by the LLM annotator (OpenAI o1, calibrated to kappa=0.77 with human experts).

1,242items
9subjects
CC-BY-4.0license
agents_and_tool_usedomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

MAST (Multi-Agent System Failure Taxonomy) response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1AG2/Claude0.2061
  2. 2AG2/GPT-4o0.1975
  3. 3MetaGPT/Claude0.1743
  4. 4Magentic/GPT-4o0.1733
  5. 5ChatDev/GPT-4o0.1544
  6. 6MetaGPT/GPT-4o0.1544
  7. 7AppWorld/GPT-4o0.0881
  8. 8OpenManus/GPT-4o0.0881
  9. 9HyperAgent/Claude0.0881