agentfield and samples
The Strands Agents samples are ecosystem siblings to the Agent-Field framework, as they likely demonstrate how to build agents within the broader Strands Agents SDK ecosystem, which could potentially be implemented using Agent-Field for scalable backend infrastructure.
About agentfield
Agent-Field/agentfield
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
Provides a control plane that routes agent calls through REST APIs with built-in structured output validation (Pydantic/Zod schemas), human-in-the-loop pause/approval workflows, and cross-agent discovery. Supports Python, Go, and TypeScript SDKs; agents auto-register with cryptographic identity and produce tamper-proof audit trails. Features async execution with webhooks, canary deployments with traffic splitting, and integrated memory (KV + vector search) without external dependencies.
About samples
strands-agents/samples
Agent samples built using the Strands Agents SDK.
Demonstrates model-driven agent development across Python and TypeScript SDKs with production deployment patterns (Lambda, Fargate, AgentCore) and industry-specific use cases. Examples cover multi-agent systems, streaming, agentic RAG, AWS service integrations, and edge deployments including robotics. The repository organizes samples from fundamentals through evaluation frameworks and full-stack UX applications.
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