Why Bedrock
Amazon Bedrock is AWS's fully managed service for foundation models. Through a single API it gives access to Anthropic Claude, Amazon Nova, and models from other providers — without provisioning GPUs, hosting weights, or maintaining inference infrastructure. For humaineeti, Bedrock is the governed model plane underneath everything we build on AWS.
- One API, many models. Reach Claude, Nova, and other providers through a consistent interface, so an application is never rewritten to try a better model.
- Managed and secure. No model infrastructure to run; data stays inside your AWS account and security boundary.
- Built for BYOM. Bedrock's multi-model reach is a natural fit for humaineeti's bring-your-own-model philosophy — the application layer stays model-agnostic.
- Foundation for agents. Bedrock supplies the reasoning; Bedrock AgentCore supplies everything an agent needs around that reasoning to run in production.
The AgentCore stack
Amazon Bedrock AgentCore is AWS's agentic platform to build, deploy, and operate AI agents securely at scale — using any framework and any model. Rather than one monolithic runtime, it is a set of composable services you adopt as needed. humaineeti engineers across all of them.
AgentCore Runtime
A secure, serverless runtime for deploying and scaling dynamic AI agents.
- Framework-agnostic — CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK, Strands Agents.
- Protocol-agnostic — MCP and A2A.
- Model-agnostic — Amazon Nova, Anthropic Claude, OpenAI, Gemini.
AgentCore Memory
Managed short- and long-term memory for context-aware interactions.
- Short-term memory for the live session and its recent turns.
- Long-term memory that persists context across sessions.
- No bespoke persistence layer to build and maintain.
AgentCore Gateway
Securely build, deploy, discover, and connect tools at scale.
- Turns existing APIs into agent tools.
- Turns AWS Lambda functions into agent tools.
- Turns MCP servers into governed, discoverable tools.
AgentCore Identity
Authentication and secure credential exchange between identity providers.
- Supports IAM, OAuth 2.1, and API keys.
- Secure credential exchange across identity providers.
- Clean auth boundary between agents and the systems they touch.
AgentCore Observability
Real-time visibility through Amazon CloudWatch dashboards.
- OpenTelemetry (OTEL)-compatible telemetry.
- Session count, latency, duration, token usage, error rates.
- The production signal humaineeti's governance scores against.
Built-in tools
AgentCore also ships ready-made capabilities for agents.
- A managed Browser tool for web interaction.
- A Code Interpreter for executing code safely.
- Composable alongside Gateway-exposed tools.
How humaineeti engineers on Bedrock
We treat an agent as a production system, not a prompt. Our build sequence on Bedrock and AgentCore is deliberate, and every step is instrumented.
- Model plane on Bedrock. Pick the right foundation models — Claude, Nova, or others — behind Bedrock's single API, keeping the application model-agnostic.
- Agent logic in the framework of choice. Build the reasoning in CrewAI, LangGraph, LlamaIndex, Google ADK, the OpenAI Agents SDK, or Strands Agents — whatever fits the problem.
- Deploy on AgentCore Runtime. Ship the agent to a secure, serverless runtime that scales dynamically, speaking MCP and A2A where needed.
- Wire memory, tools, and identity. Add AgentCore Memory for context, expose systems through AgentCore Gateway as governed tools, and authenticate with AgentCore Identity.
- Instrument with Observability. Stream OTEL-compatible telemetry to CloudWatch, then layer humaineeti's traced, logged, and scored governance on top.
Governance & Zero-Trust
AWS gives us secure primitives; humaineeti turns them into an accountable system. Our Responsible AI and Zero-Trust governance means nothing an agent does is invisible.
- Traced, logged, scored. Every agent step and every LLM call is traced, logged, and scored — the same discipline we apply across our accelerators.
- Real identity, not shared secrets. AgentCore Identity handles authentication (IAM, OAuth 2.1, API keys) and secure credential exchange between identity providers, so tool access is attributable.
- Governed tool surface. AgentCore Gateway defines exactly which APIs, Lambda functions, and MCP servers an agent may call — no sprawling, direct-to-system access.
- Observable in production. AgentCore Observability feeds CloudWatch dashboards with session count, latency, duration, token usage, and error rates — the evidence base for our scoring.
- Evaluated before and after launch. Agent quality is measured continuously by our AI Eval Service, not assumed.
The stack we use
Because AgentCore is framework-, protocol-, and model-agnostic, humaineeti's toolkit maps onto it without compromise. You inherit better models and frameworks without re-architecting.
- Models. Anthropic Claude and Amazon Nova on Bedrock, with OpenAI and Gemini reachable through AgentCore where a workload calls for it.
- Frameworks. CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK, and Strands Agents on AgentCore Runtime.
- Protocols. MCP and A2A for tool and agent-to-agent interoperability.
- Tools. Existing APIs, AWS Lambda functions, and MCP servers exposed through AgentCore Gateway, plus built-in Browser and Code Interpreter.
- Operations. AgentCore Observability into Amazon CloudWatch, with OTEL-compatible telemetry across the fleet.
Frequently asked questions
What 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. humaineeti uses Bedrock as the governed model plane for enterprise GenAI applications and AI agents, so teams build without managing model infrastructure.
What is Amazon Bedrock AgentCore?
Bedrock AgentCore is AWS's agentic platform to build, deploy, and operate AI agents securely at scale using any framework and any model. It provides composable services — Runtime, Memory, Gateway, Identity, and Observability — plus built-in Browser and Code Interpreter tools. humaineeti engineers agents on AgentCore so they run serverless, remember context, call governed tools, authenticate cleanly, and are observable in production.
Which agent frameworks and models does AgentCore support?
AgentCore Runtime is framework-agnostic, protocol-agnostic, 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. This is why humaineeti's bring-your-own-model philosophy maps cleanly onto AgentCore.
How does humaineeti govern agents built on Bedrock and AgentCore?
humaineeti pairs Bedrock and AgentCore with its 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 OTEL-compatible telemetry to Amazon CloudWatch for latency, token usage, and error rates.
Can 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 humaineeti builds to that principle. Agents can move between Nova, Claude, OpenAI, and Gemini, and humaineeti's RouteIQ accelerator can route each query to the right model tier across Bedrock, so you are never architecturally locked to one model or vendor.
Related work
- RouteIQ — intelligent model routing across Amazon Bedrock, sending each query to the right cheap/mid/premium tier.
- Eval@Core — our AI Eval Service for measuring agent and LLM quality before and after launch.
- GenAI Delivery Factory — how we take governed agents from prototype to production rollout.