MeshFlow
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MeshFlow

The production-safe standard for agentic AI.
Apache 2.0 — free forever.

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MeshFlow © 2026 · Yaya Systems · Apache 2.0
All systems operational
MeshFlowlearn
Docs GitHubTake Exam
OrientationOrientation00
FoundationsAI, Generative AI, and LLMs01Context, Memory, and Tools02Agents and Workflows03
MeshFlow CoreWhat Is MeshFlow04Artifacts, DAGs, and Gates05
Agentic WorkflowsAgent Workflow Walkthrough06Debugging, Traces, and Observability07
Multi-Agent SystemsMulti-Agent Systems10
Framework ComparisonFramework Study and Patterns09
Final ProjectFinal Project08
Production EngineeringLedger Audit and Tamper Detection11Compliance Modes12Environmental Cost and Carbon Budgets13Cross-Framework Integration14Circuit Breakers and Resilience15
Advanced SystemsProduction Pipeline Capstone16Cross-Run Learning with CORAL17OpenTelemetry and Observability18YAML Workflows19HTTP Runtime and Deployment20
Certificate Exam
Certificate exam

MeshFlow Certificate Exam

Test your knowledge across all 20 chapters — from AI fundamentals through production deployment. Score 75% or higher to earn a certificate.

60questions
20chapters
45needed to pass
75%passing score

Before you start

  • Questions are randomly shuffled from all 20 chapters.
  • 3 questions per chapter, 60 total. No time limit.
  • You must score 45/60 (75%) or higher to earn a certificate.
  • After each question you see the correct answer and explanation.
  • You can re-take the exam as many times as needed.
Exam details60 questions20 chapters75% to passNo time limit