Agent design and runtime architecture
Build intelligent agents using AgentCore Runtime with Starter Toolkit, LangGraph, and Strands for secure, context-aware execution.
Build AWS-native multi-agent systems with Amazon Bedrock AgentCore for secure enterprise automation.
15-Minute Scoping CallAWS AgentCore development for intelligent, production-ready AI agents
Use Amazon Bedrock AgentCore to build, orchestrate, and optimize enterprise AI agents that automate complex workflows and improve operational ROI.
- AWS-first architecture for secure agent execution
- AgentCore runtime, gateway, and observability integration
- Continuous optimization with real-time telemetry
Trusted by global innovators
What is AWS AgentCore?
AWS AgentCore, part of Amazon Bedrock, is a set of AWS services for running AI agents in production: a serverless runtime, memory, a tool gateway, identity and observability. Agnotic Technologies designs, builds and runs AgentCore agents for your team, connecting them to your APIs and data with scoped permissions and full tracing.
Deployment and integration
Package logic, memory, and tools with the AgentCore CLI, then integrate agents into web, mobile, and backend systems via AgentCore Gateway.
Observability and optimization
Track sessions, traces, and latency with Amazon CloudWatch to continuously improve reliability, accuracy, and response quality.
What can agents do on AgentCore?
AWS Bedrock AgentCore enables secure, extensible AI systems with reliable runtime controls and production observability.
Dynamic reasoning
Coordinate multi-step tasks and data sources using Strands-based agent workflows.
Optimized performance
Run agents on a stable runtime designed for low-latency and consistent execution quality.
Secure gateway
Connect agents to enterprise APIs and cloud resources through a protected access layer.
Built-in code interpreter
Execute Python logic for analytics, transformations, and tool-based task completion.
Continuous learning loops
Use telemetry and trace insights to improve prompts, tool usage, and outcomes over time.
Multi-agent orchestration
Coordinate specialized agents that share context, delegate work, and achieve composite goals.
Which industries use AgentCore agents?
See where AWS-powered AI agents create measurable value across operations, customer experience, and decision intelligence.
Healthcare
- Autonomous medical coding and billing
- Personalized treatment recommendations
- Clinical workflow automation
- Medical data triage and routing
FinTech
- Automated fraud detection and response
- Personalized financial advisory
- Loan underwriting optimization
- Regulatory compliance checks automation
Education
- AI tutors for personalized learning
- Assignment grading automation
- Real-time engagement tracking
- Curriculum planning support
E-commerce
- Conversational AI for product discovery
- Inventory and demand forecasting
- Automated pricing strategy
- Post-purchase experience management
Travel & Hospitality
- AI agents for itinerary planning
- Dynamic pricing and yield optimization
- Guest service automation
- Operational task management
How do we deliver an AgentCore project?
Our structured delivery process de-risks implementation and accelerates your path from use case discovery to production outcomes.
Discovery & planning
Define automation goals, agent roles, and target workflows where autonomous execution provides the highest ROI.
Book a consultationKey outcomes:
Agent role definition
Agent integration map
Core feasibility metrics
AI delivery roadmap
Turn your AWS AI vision into measurable impact
Launch secure AWS-native AI agents with AgentCore and Bedrock to automate workflows, reduce cycle time, and improve operational ROI.
contact@agnotic.com
Partnerships
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Facts and sources
Facts from the AWS AgentCore documentation
Short facts we design AgentCore agents around, each linked to its primary source.
Amazon Bedrock AgentCore is an AWS platform for building, deploying and operating agents, and its services work together or on their own with open-source frameworks such as CrewAI, LangGraph, LlamaIndex and Strands Agents and with any foundation model.
Source: AWS, What is Amazon Bedrock AgentCore?AgentCore Gateway converts APIs, Lambda functions and existing services into Model Context Protocol (MCP) compatible tools and makes them available to agents through Gateway endpoints.
Source: AWS, What is Amazon Bedrock AgentCore?AgentCore Identity manages agent identity, access and authentication and works with existing identity providers such as Amazon Cognito, Okta, Microsoft Entra ID and Auth0.
Source: AWS, What is Amazon Bedrock AgentCore?AgentCore Observability traces, debugs and monitors agent performance in production, showing each step of an agent workflow, and works with telemetry in the OpenTelemetry (OTEL) compatible format.
Source: AWS, What is Amazon Bedrock AgentCore?
What do buyers ask about AWS AgentCore?
It depends on how many tools and systems the agent calls, which identity provider it signs in through, how much memory it needs across sessions and how its output is evaluated before release. We start with one workflow and give you a timeline after the scoping call.
Engineering effort depends on the number of tools exposed through AgentCore Gateway, the identity and permission model, the evaluation set and the systems the agent writes to. Running cost depends on your AWS usage, which we estimate with you from expected traffic before launch.
No. AWS documents that AgentCore Runtime works with models in or outside Amazon Bedrock, including OpenAI, Google Gemini and Anthropic Claude models, and with frameworks such as LangGraph and Strands Agents. We pick the model with you based on the task, your data rules and cost.
Yes. We expose your APIs, Lambda functions and services to the agent as tools through AgentCore Gateway, and connect sign-in to your existing identity provider through AgentCore Identity, so each agent gets only the access its task needs.
Yes. The first release runs one agent on one workflow, with its tools, permissions, tracing and evaluation set in place. More agents and tools follow once it runs well in production.
AI tools help our engineers draft code and tests, but a person reviews every change, and it passes the same automated tests and security checks as any other code. Which tools may see your code or data is agreed with you at the start.
Related AI services
We Are Technology-Agnostic
With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.
Wireframe & Ideation
User Experience
Real-Time Projects
Traditional Development vs. AI-Assisted Engineering
By adopting AI-assisted development, you can significantly reduce team size and development costs while maintaining the same speed, quality, and reliability of delivery.
Traditional development team
FTE
Business AnalystSolution ArchitectUI/UX DesignerProject ManagerBack-end EngineerFront-end EngineerQuality Assurance
- Manual coding and rule-based logic for each feature
- Full-time development team including all key roles
- Predefined workflows and human decision-making
AI-assisted engineering team
FTE
Solution ArchitectBack-end EngineerFront-end EngineerBusiness Analyst
Part time
UI/UX DesignerProject ManagerQuality Assurance
AI Agents
PlanningDesignCodeCI/CDTesting
- Orchestrating AI agents to automate coding and optimization
- Lean team using AI agents to expand development capacity
- Faster delivery with adaptive, data-driven improvement
AI Tools We Use for Software Engineering
We use AI-powered tools and automation frameworks to speed up every stage of the software development lifecycle.
Coding copilots
AI tools that assist engineers with code generation, refactoring, and documentation through contextual suggestions and inline reasoning.
AI agent frameworks
Multi-agent frameworks that enable coding assistants and context-aware workflow orchestration across CI/CD pipelines.
Data analysis and big data processing
Tools and systems for processing, analyzing, and transforming large unstructured datasets.
Infrastructure and orchestration platforms
Cloud and containerized environments that host, secure, and monitor Artificial Intelligence-assisted workflows.
Voice of success
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
“I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.”
Aaron Phelan
Founder, Benchmark