Multi‑Agent Systems

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Frameworks · ReferenceFramework

SuperAgent

Single-agent assistant platform for customer-facing deployments.

Scenario Customer-facing single-agent assistants
01

Suitability

Best for

Customer-facing single-agent assistants configured via YAML/UI.

Watch out

Single-agent focus; not built for complex multi-agent orchestration.

02

Architecture & integrations

Customer-facing assistants; configured via YAML/UI, external vector databases.

03

Pattern support

ReAct
NativeComposable / supportingColor = ladder level L1–L4
Native patterns: Single-Agent Assistant
Read on

Related frameworks

Closest options — by shared native patterns and same stack layer.

Framework

AWS Strands SDK

Model-driven minimal SDK; the LLM weaves the graph from a 'bundle of threads' of tools.

Shares ReActView →Framework

OpenAI Agents SDK

Lightweight, Python-first SDK for handoff-based agent flows.

Shares ReActView →Framework

Pydantic AI

Type-safe Python agent framework; structured outputs and validation/retry loops on Pydantic v2.

Shares ReActView →

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Compare the field.

ReferenceFrameworksSeventeen platforms across the stack, compared side by side.Compare the field ReferenceProtocolsHow agents interoperate — MCP, A2A and AG-UI on the wire.Compare protocols PatternsThe Six Coordination PatternsThe six patterns every architecture is built from.Browse the catalog

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