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humaineeti

AWS Partner · Amazon Bedrock & AgentCore Production agents on Bedrock and AgentCore, governed from day one.

As an AWS Partner, we engineer production AI agents on Amazon Bedrock and Bedrock AgentCore. Our framework-agnostic, model-agnostic practice on AWS delivers agents that run serverless, remember context, call governed tools, authenticate cleanly and stay observable in production — all within Responsible AI and Zero Trust controls.

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AWS Partner
Engineering on Amazon Bedrock and Bedrock AgentCore
Your AWS account
Agents and data stay inside your own security boundary

Why it matters

Demo agents are easy. Governed production agents are not.

We build on Amazon Bedrock and Bedrock AgentCore so the hard part is handled by design — with every agent step and every model call traced, logged and scored.

  1. 01Model infrastructure is a distraction. Bedrock gives you Anthropic Claude, Amazon Nova and other providers through a single API — no GPUs to provision, weights to host or inference infrastructure to maintain.
  2. 02Trying a better model should not mean rewriting the application. One API for many models keeps the application layer model-agnostic.
  3. 03Your data has to stay inside your AWS account and security boundary. Bedrock is managed and secure by default.
  4. 04Production agents need more than reasoning. Bedrock supplies the reasoning; AgentCore wraps it in a secure serverless runtime, managed memory, governed tool access, real identity and full observability.

The AgentCore stack

Composable services. We engineer across all of them.

Amazon Bedrock AgentCore is AWS’s agentic platform for building, deploying and operating AI agents securely at scale, with any framework and any model. Rather than one monolithic runtime, it is a set of composable services you adopt as needed.

AgentCore Runtime

A secure, serverless runtime for deploying and scaling dynamic AI agents — framework-agnostic, protocol-agnostic (MCP and A2A) and model-agnostic (Amazon Nova, Anthropic Claude, OpenAI, Gemini).

ServerlessMCPA2A

AgentCore Memory

Managed short-term memory for the live session and its recent turns, plus long-term memory that persists context across sessions — with no bespoke persistence layer to build and maintain.

AgentCore Gateway

Build, deploy, discover and connect tools securely at scale. Gateway turns existing APIs, AWS Lambda functions and MCP servers into governed, discoverable agent tools.

AgentCore Identity

Authentication and secure credential exchange between identity providers. Supports IAM, OAuth 2.1 and API keys — a clean auth boundary between agents and the systems they touch.

AgentCore Observability

Real-time visibility through Amazon CloudWatch dashboards with OpenTelemetry-compatible telemetry — session count, latency, duration, token usage and error rates. The production signal our governance scores against.

Built-in tools

A managed Browser tool for web interaction and a Code Interpreter for executing code safely, composable alongside Gateway-exposed tools.

How we build on Bedrock

An agent is a production system, not a prompt.

Our build sequence on Bedrock and AgentCore is deliberate, and we instrument every step.

  1. / 01

    Model plane on Bedrock

    Choose the right foundation models — Claude, Nova or others — behind Bedrock’s single API, keeping the application model-agnostic.

  2. / 02

    Agent logic in your framework of choice

    Build the reasoning in CrewAI, LangGraph, LlamaIndex, Google ADK, the OpenAI Agents SDK or Strands Agents — whichever fits the problem.

  3. / 03

    Deploy on AgentCore Runtime

    Ship the agent to a secure, serverless runtime that scales dynamically and speaks MCP and A2A where needed.

  4. / 04

    Wire in memory, tools and identity

    Add AgentCore Memory for context, expose your systems as governed tools through AgentCore Gateway, and authenticate with AgentCore Identity.

  5. / 05

    Instrument with Observability

    Stream OpenTelemetry-compatible telemetry to CloudWatch, then layer our tracing, logging and scoring governance on top.

The stack we use

Framework-, protocol- and model-agnostic by design.

Our toolkit maps onto it directly, so you can adopt better models and frameworks without re-architecting.

Models

  • Anthropic Claude
  • Amazon Nova
  • OpenAI
  • Gemini

Frameworks

  • CrewAI
  • LangGraph
  • LlamaIndex
  • Google ADK
  • OpenAI Agents SDK
  • Strands Agents

Protocols

  • MCP
  • A2A

Tools

  • Existing APIs
  • AWS Lambda
  • MCP servers
  • Browser
  • Code Interpreter

Operations

  • AgentCore Observability
  • Amazon CloudWatch
  • OpenTelemetry

Governance and Zero Trust

AWS supplies secure primitives. We make them accountable.

With our Responsible AI and Zero Trust governance, nothing an agent does is invisible.

  • Traced, logged, scored

    AWS primitive
    Bedrock + AgentCore
    What it guarantees
    Every agent step and every LLM call is traced, logged and scored

  • Real identity, not shared secrets

    AWS primitive
    AgentCore Identity
    What it guarantees
    IAM, OAuth 2.1 and API keys with secure credential exchange — tool access is attributable

  • Governed tool surface

    AWS primitive
    AgentCore Gateway
    What it guarantees
    Exactly which APIs, Lambda functions and MCP servers an agent may call — no direct-to-system access

  • Observable in production

    AWS primitive
    AgentCore Observability
    What it guarantees
    CloudWatch dashboards with session count, latency, duration, token usage and error rates

  • Evaluated before and after launch

    AWS primitive
    Agent Evaluations
    What it guarantees
    Agent quality measured continuously, not assumed

What you get

Agents that run, remember and answer for themselves.

  • Agents deployed serverless on AgentCore Runtime

  • Managed short- and long-term memory for context-aware interactions

  • Existing APIs, Lambda functions and MCP servers exposed as governed tools

  • A clean auth boundary via IAM, OAuth 2.1 and API keys

  • CloudWatch dashboards with OpenTelemetry-compatible telemetry

  • Every agent step and LLM call traced, logged and scored

Where it fits

Bring your own model, on AWS, without lock-in.

Because AgentCore is model-, framework- and protocol-agnostic, our bring-your-own-model (BYOM) toolkit maps onto it cleanly. MODELSTACK routes each query to the right model tier on cost and quality; our Agent Evaluations practice measures agent and LLM quality before and after launch; and the GenAI Delivery Factory takes governed agents from prototype to production rollout.

FAQ

Frequently asked.

01What is Amazon Bedrock?

Amazon Bedrock is AWS’s fully managed service for accessing foundation models — including Anthropic Claude, Amazon Nova and models from other providers — through a single API. We use Bedrock as the governed model plane for enterprise GenAI applications and AI agents, so your teams build without managing model infrastructure.

02What is Amazon Bedrock AgentCore?

Bedrock AgentCore is AWS’s agentic platform for building, deploying and operating AI agents securely at scale, with any framework and any model. It provides composable services — Runtime, Memory, Gateway, Identity and Observability — plus built-in Browser and Code Interpreter tools. We engineer agents on AgentCore so they run serverless, remember context, call governed tools, authenticate cleanly and are observable in production.

03Which agent frameworks and models does AgentCore support?

AgentCore Runtime is framework-, protocol- and model-agnostic. It runs agents built with CrewAI, LangGraph, LlamaIndex, Google ADK, the OpenAI Agents SDK or Strands Agents; it speaks MCP and A2A; and it can drive Amazon Nova, Anthropic Claude, OpenAI or Gemini models. That is why our bring-your-own-model philosophy maps cleanly onto AgentCore.

04How does humaineeti govern agents built on Bedrock and AgentCore?

We pair Bedrock and AgentCore with our Responsible AI and Zero Trust governance: every agent step and every LLM call is traced, logged and scored. AgentCore Identity handles authentication and secure credential exchange, AgentCore Gateway enforces which tools an agent may call, and AgentCore Observability streams OpenTelemetry-compatible telemetry to Amazon CloudWatch for latency, token usage and error rates.

05Can we bring our own model and framework, or are we locked in?

You can bring your own. AgentCore is deliberately model-, framework- and protocol-agnostic, and we build to the same principle. Agents can move between Nova, Claude, OpenAI and Gemini, and our MODELSTACK solution can route each query to the right model tier — so you are never architecturally locked to one model or vendor.

Related guides

Keep reading.

All guides

AI Engineering · 5 min

BYOM vs Vendor-Locked AI

Why model-agnostic architecture matters for enterprise AI — flexibility, cost optimisation, and data sovereignty.

Read the guide

AI Engineering · 8 min

Multi-Agent Orchestration — Framework Guide.

LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK — what each is good at, what to pick for production, and the patterns underneath.

Read the guide

AI Engineering · 7 min

Model Context Protocol — Enterprise Guide.

Why MCP became the de facto standard for connecting agents to enterprise systems — and the security posture you need before production.

Read the guide

Next step

Take your agents from demo to production.

Secure serverless runtime, managed memory, governed tool access, real identity and full observability — engineered on Bedrock and AgentCore, with every agent step traced, logged and scored.

Talk to an engineerBook a free demo