Amazon Bedrock AgentCoreAmazon
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RunlayerAnysource
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Related Products
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About
Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely at scale, offering infrastructure purpose‑built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real‑world deployment. It works with any framework and any foundation model in or outside of Amazon Bedrock, eliminating the undifferentiated heavy lifting of specialized infrastructure. AgentCore provides complete session isolation and industry‑leading support for long‑running workloads up to eight hours, with native integration to existing identity providers for seamless authentication and permission delegation. A gateway transforms APIs into agent‑ready tools with minimal code, and built‑in memory maintains context across interactions. Agents gain a secure browser runtime for complex web‑based workflows and a sandboxed code interpreter for tasks like generating visualizations.
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About
Runlayer is an AI control plane for organizations deploying AI agents and related tools across engineering, security, IT, and business teams. It provides a governed catalog of approved MCP servers, connectors, skills, and agents, and routes agent tool calls through a policy-enforcing gateway. Administrators can discover AI clients and MCP activity, review session traces and audit records, and use configurable policies, approvals, and security scanners to monitor or block risky actions. Employees can create agents through supported AI clients using approved tools and scoped permissions, while teams manage adoption and usage. Runlayer connects AI clients, identity providers, device-management systems, and MCP servers, with hosted and self-hosted deployment options. It is designed for companies seeking centralized visibility, governance, and security as they roll out AI agents and workflows.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers and architects requiring a tool to deploy and manage secure, scalable AI agents across any framework or model with minimal infrastructure overhead
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Audience
Enterprise security, IT, and AI governance teams administering AI agents and MCP tools, along with developers and employees using supported AI clients.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$0.0895 per vCPU-hour
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/es/bedrock/agentcore/
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Company InformationAnysource
Founded: 2025
United States
www.runlayer.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon Bedrock
Supported
Amazon CloudWatch
Supported
Amazon Nova 2 Pro
Supported
Amazon Web Services (AWS)
Supported
CrewAI
Supported
Hindsight
Supported
LangGraph
Supported
LlamaIndex
Supported
Model Context Protocol (MCP)
Not Supported
Noma
Supported
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Integrations
Amazon Bedrock
Not Supported
Amazon CloudWatch
Not Supported
Amazon Nova 2 Pro
Not Supported
Amazon Web Services (AWS)
Not Supported
CrewAI
Not Supported
Hindsight
Not Supported
LangGraph
Not Supported
LlamaIndex
Not Supported
Model Context Protocol (MCP)
Supported
Noma
Not Supported
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