MYTHOS-AI-0001
Agentic Framework Benchmark and Evaluation Standard
Defines how agent frameworks are evaluated for planning, tool use, governance handoff, and failure recovery without treating chat output as completed work.
Purpose
Establish a reproducible method for evaluating agentic frameworks that propose, authorize, execute, verify, and record work.
Separate conversational fluency from governed task completion.
Scope
Applies to multi-step agents, tool routers, mission planners, and orchestration layers that act on engineering or operational systems.
Does not certify third-party products or publish comparative leaderboards by itself.
Evaluation dimensions
Task decomposition quality and constraint retention across steps.
Tool selection correctness and refusal behavior under missing authority.
Recovery from blocked, partial, or conflicting tool results.
Evidence completeness for human review after a run.
Publication rules
Published evaluations must name the agent stack version, tool inventory, workload suite, hardware or device class, date, and scoring method.
Entries without those fields are not published as results.
Document status
MYTHOS-AI-0001 is published here as a draft standard definition. It does not constitute a completed product certification or a published scoreboard of model results.