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Pluggable Agentic AI Framework is a hands-on workshop that builds a multi-agent customer support system on AWS using Amazon Bedrock AgentCore. It follows the scenario of AnyCompany, an online retailer, where a supervisor orchestrator dynamically discovers and delegates to specialized agents via harness
Hands-on workshop to build a production AI agent with Strands Agents, tools, hooks, memory, multi-agent, evals, and deploy to Amazon Bedrock AgentCore.
Open-source memory manager daemon for AI agents. Filesystem-native, LLM-pluggable, framework-agnostic. Works with OpenClaw, Strands, LangChain, AgentCore Runtime or any agent that can write a file.
An enterprise-grade, omnichannel voice assistant for QSRs. Built with 100% serverless AWS architecture, leveraging Amazon Bedrock AgentCore, Nova Sonic v2, and the MCP protocol for ultra-low latency, real-time voice interactions.
A system that generates recorded browser session videos from public webpages, based on a webpage URL and the description of the needed clickthrough recording.
AI incident assistant: a supervisor delegates to specialist agents (observability + web context) on AgentCore and Strands with MCP — fully deployable via AWS CDK.
Minimal Amazon Bedrock AgentCore runtime preinstalling Claude Code on Node 24 with persistent session storage; pure SST v4/Pulumi infra (no agentcore CDK), least-privilege IAM, interactive SigV4 shell.
Transform unstructured media contracts into searchable metadata using multi-modal AI. Extracts territory grants, compensation terms, expiration dates, and clause relationships from rights deals, licenses, and talent agreements at scale.
This code demonstrates building production-grade agentic applications with Strands Agents SDK, Amazon Bedrock AgentCore Memory, and AgentCore Runtime — from local prototyping through to cloud-hosted deployment.
A dating-sim-style speaking game with Shizuku and Chitose as voice companions. Uses Amazon Nova 2 Sonic for realtime voice play and a separate hidden runtime for turn analysis. The player clears staged scenes by speaking naturally, keeping the conversation romantic, fluent, and on-topic.