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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
Free training course

Build production-safe
AI agents from scratch

A complete 20-chapter course covering Generative AI fundamentals through production engineering — compliance modes, circuit breakers, CORAL learning, OpenTelemetry, YAML workflows, and HTTP runtime deployment. Earn a certificate.

20chapters
18hestimated
60exam questions
75%to pass
Start chapter 00Certificate exam

Four-week study plan

Week 1
Foundations
AI, LLMs, context, memory, tools, agents, DAGs, and gates. Chapters 00–05.
Week 2
MeshFlow in Practice
Walkthrough, debugging, multi-agent design, framework comparison, and the final project. Chapters 06–10.
Week 3
Production Engineering
Ledger audit, compliance, carbon, cross-framework adapters, circuit breakers. Chapters 11–15.
Week 4
Advanced Systems + Exam
Capstone, CORAL learning, OTEL, YAML, HTTP runtime, and the certificate exam. Chapters 16–20.
Phase 0Orientation
00
Orientation
Course map·Glossary·Study plan
20m
Phase 1Foundations
01
AI, Generative AI, and LLMs
LLM limits·Context window·Trace
45m
02
Context, Memory, and Tools
Context package·Memory retrieval·Tool validation
50m
03
Agents and Workflows
Agent loop·Stopping conditions·Workflow vs. prompt
45m
Phase 2MeshFlow Core
04
What Is MeshFlow
Nodes·Artifacts·Compile-time validation
40m
05
Artifacts, DAGs, and Gates
DAG structure·Gate enforcement·Dependency contracts
40m
Phase 3Agentic Workflows
06
Agent Workflow Walkthrough
Node map·Dependency graph·HITL pattern
50m
07
Debugging, Traces, and Observability
Trace reading·Gate forensics·Root cause analysis
45m
Phase 4Multi-Agent Systems
10
Multi-Agent Systems
Role boundaries·Sequential handoff·Critic-revision loop
55m
Phase 5Framework Comparison
09
Framework Study and Patterns
CrewAI translation·LangGraph translation·AutoGen translation
55m
Phase 6Final Project
08
Final Project
Pipeline design·Artifact planning·Gate placement
90m
Phase 7Production Engineering
11
Ledger Audit and Tamper Detection
SHA-256 chain·verify_chain·Time-travel
50m
12
Compliance Modes
PolicyMode·HIPAA / SOX·PHI scrubbing
50m
13
Environmental Cost and Carbon Budgets
MARLIN·carbon_budget_g·ESG reporting
45m
14
Cross-Framework Integration
from_callable·from_langgraph·from_crewai
55m
15
Circuit Breakers and Resilience
CLOSED / OPEN / HALF-OPEN·max_retries·skip / retry / fail
55m
Phase 8Advanced Systems
16
Production Pipeline Capstone
Fan-out / fan-in·Quality loop·HITL before publish
80m
17
Cross-Run Learning with CORAL
Task fingerprint·Cosine similarity·Strategy recommendation
50m
18
OpenTelemetry and Observability
Spans·trace_id·Jaeger
55m
19
YAML Workflows
YAML schema·node_registry·Conditional edges
50m
20
HTTP Runtime and Deployment
/run·/stream·/health
55m
Certificate Exam
60 questions · 75% to pass · earn a printable certificate
On this pageStudy planAll chaptersCertificate exam