Agent Architecture and Orchestration

Agent Architecture and Orchestration

Agent Architecture & Orchestration

1 of 77 in this book · 2 min read

Scope: agent planning, coordination, execution, and the systems that make agent work reliable.

Capabilities: 19

Agent engineering entry points

Design question Start here Continue with
What environment lets the agent execute and verify work? Agent Harness Engineering Context assembly, tool dispatch, work state, and evaluation
What steps and transitions may the system take? Agent Graph Engineering Node contracts, state updates, guarded paths, and recovery
What selects work, checks it, and decides what happens next? Loop Engineering Inner turns, outer work cycles, scheduling, and acceptance

These are complementary views of an agent system, with overlapping components. A bounded model/tool loop may be one node in a graph, while an outer controller selects graph runs and checks their outcomes. The harness provides the environment for that work. Choose the structure required by the task rather than adopting three separate frameworks.

For a first design, read the harness component map, the graph's worked ticket workflow, and the loop's incident-triage example. Then follow their links to the specialized capabilities below. Graphs here organize execution; knowledge graphs organize facts and relationships for reasoning and retrieval.

Capability inventory

# Capability
1 Agent Definition
2 Agent Registry
3 Agent Lifecycle
4 Multi-agent Orchestration
5 Planning Engine
6 Task Decomposition
7 Agent Routing
8 Agent Handoff
9 Agent-as-a-Tool
10 Execution Loop
11 Parallel Execution
12 Shared State Management
13 Interrupt and Resume
14 Loop Detection
15 Termination Conditions
16 Autonomy Levels
17 Agent Harness Engineering
18 Agent Graph Engineering
19 Loop Engineering