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    AgentRise - Unified Agent Orchestration, MCP Integration & AI Governance

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    Sold by: Apexon 
    AgentRise for Amazon Bedrock AgentCore is a unified, AWS-native orchestration framework that simplifies how enterprises design, deploy, and govern intelligent AI agents. Built on Bedrock AgentCore, it provides a declarative, low-code interface to create, manage, and observe agent workflows across multiple runtimes such as CrewAI, Google ADK and LangGraph. With native support for AgentCore Gateway, Identity, Memory, and MCP-based tool integration, AgentRise accelerates enterprise adoption of agentic AI with built-in governance, observability, and scalability.

    Overview

    AgentRise for Amazon Bedrock AgentCore provides an end-to-end enterprise framework for designing, deploying, and managing autonomous AI agents within the AWS ecosystem. Built natively on Amazon Bedrock AgentCore, it eliminates the need for manual orchestration, container management, or custom integration logic by consolidating Gateway, Identity, Runtime, and Memory within a single managed foundation.

    The solution enables platform-agnostic agent workflow authoring and deployment across multiple runtimes like CrewAI, LangGraph, or Google ADK while maintaining unified observability, governance, fine-grained IAM control, and cost efficiency. AgentRise integrates seamlessly with Bedrock AgentCore Memory and Knowledge Bases for long-term contextual reasoning. Through its Model Context Protocol (MCP) registry, enterprises can securely connect external tools, APIs, and systems with full RBAC enforcement and auditable access.

    Built for enterprise governance, AgentRise offers end-to-end traceability of agent workflows, comprehensive session visibility, and performance metrics through Amazon CloudWatch and X-Ray. The solution empowers organizations to move from manually engineered orchestration to a managed, autonomous, and compliant agentic environment built entirely on Bedrock AgentCore.

    Highlights

    • Platform-agnostic interface for designing and deploying agent workflows across CrewAI, Google ADK, LangGraph runtimes. Features an intelligent agent registry that accelerates domain-specific workflow creation and reuse, reducing time-to-production for enterprise agentic solutions.
    • Unified memory architecture supporting both short and long-term context management, enhanced with agentic RAG for dynamic reasoning. Integrates an enterprise-grade MCP registry enabling secure tool discovery and execution with fine-grained RBAC and IAM-based governance.
    • End-to-end observability and debugging framework capturing real-time agent behavior through structured event streams. Enables full traceability, performance insights, and compliance visibility across agent workflows for stronger operational governance.

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