amazon-bedrock-agentcore
/amazon-bedrock-agentcore
Prowadzi projektowanie, tworzenie, testowanie i wdrażanie produktów agentowych na Amazon Bedrock AgentCore: Runtime, Gateway z MCP, Memory, Identity, Browser, Observability, Evaluations i konstrukty CDK.
- Autor
- mashharuki ↗
- Repozytorium
- AWS-SummitHackathon-2026 ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 28.06.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 9
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 2
Brak sygnałów. Repozytorium zmienione 28.06.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Prowadzi projektowanie, tworzenie, testowanie i wdrażanie produktów agentowych na Amazon Bedrock AgentCore: Runtime, Gateway z MCP, Memory, Identity, Browser, Observability, Evaluations i konstrukty CDK.
Wyzwalacze z opisu
Oryginalny opis (EN)
Expert guide for designing, developing, testing, and deploying AI agent products using Amazon Bedrock AgentCore. Covers ALL AgentCore components (Runtime, Gateway/MCP, Memory, Identity, Browser, Code Interpreter, Observability, Evaluations, Policy, Registry, Payments) with CDK L2 constructs for IaC. ALWAYS invoke this skill when the user mentions any of the following: - "AgentCore", "bedrock-agentcore", "agent runtime", "MCP gateway", "agent memory" - Deploying an AI agent to AWS (serverless, containerized) - Converting APIs or Lambda functions to MCP tools - Agent identity / OAuth / credentia
Jak działa
- Quick Decision: Which Component Do You Need?
- Component Overview
- Standard Workflow
- API Endpoints (Critical — Wrong Endpoint = Error)
- CDK Module (L2 Constructs)
- Key Constraints (Always Apply)
- Pricing (Consumption-based, No Upfront)
- When to Read Reference Files
Podgląd SKILL.md
---
name: amazon-bedrock-agentcore
description: |
Expert guide for designing, developing, testing, and deploying AI agent products using Amazon Bedrock AgentCore.
Covers ALL AgentCore components (Runtime, Gateway/MCP, Memory, Identity, Browser, Code Interpreter,
Observability, Evaluations, Policy, Registry, Payments) with CDK L2 constructs for IaC.
ALWAYS invoke this skill when the user mentions any of the following:
- "AgentCore", "bedrock-agentcore", "agent runtime", "MCP gateway", "agent memory"
- Deploying an AI agent to AWS (serverless, containerized)
- Converting APIs or Lambda functions to MCP tools
- Agent identity / OAuth / credential management on AWS
- Browser automation or code interpreter for AI agents
- Evaluating agent quality (LLM-as-a-Judge, automated evals)
- Cedar policy or governance for AI agents
- Strands, LangGraph, CrewAI, LlamaIndex deployment to AWS
- CDK infrastructure for AI agents (aws_bedrockagentcore, Runtime, Gateway constructs)
- "エージェント", "MCP サーバー", "エージェント デプロイ" (Japanese equivalents)
---
# Amazon Bedrock AgentCore — Expert Skill
Amazon Bedrock AgentCore is a **framework-agnostic, model-agnostic** platform for building, deploying, and operating AI agents at scale. It works with any open-source framework (Strands, LangGraph, CrewAI, LlamaIndex, OpenAI Agents SDK, Google ADK) and any foundation model.
## Quick Decision: Which Component Do You Need?
| User Goal | AgentCore Component | Reference |
|-----------|-------------------|-----------|
| Deploy agent code serverlessly (any framework) | **Runtime** | [runtime.md](references/runtime.md) |
| Single-API agent loop (no container needed) | **Harness** | AWS docs |
| Expose REST API / Lambda as MCP tools | **Gateway** | [gateway.md](references/gateway.md) |
| Connect to existing MCP servers | **Gateway** (MCP target) | [gateway.md](references/gateway.md) |
| Multi-turn conversation memory | **Memory** | [memory.md](references/memory.md) |
| Agent auth with Okta/Cognito/Entra | **Identity** | [identity-policy.md](references/identity-policy.md) |
| Policy/governance for tool calls | **Policy (Cedar)** | [identity-policy.md](references/identity-policy.md) |
| Agent executes Python/JS code in sandbox | **Code Interpreter** | [tools.md](references/tools.md) |
| Agent navigates websites / fills forms | **Browser** | [tools.md](references/tools.md) |
| Trace, debug, monitor agent in prod | **Observability** | [observability-evals.md](references/observability-evals.md) |
| Measure agent quality (LLM-as-a-Judge) | **Evaluations** | [observability-evals.md](references/observability-evals.md) |
| IaC with AWS CDK | **CDK L2 constructs** | [cdk-patterns.md](references/cdk-patterns.md) |
| Strands / LangGraph / CrewAI integration | **Framework patterns** | [frameworks.md](references/frameworks.md) |
## Component Overview
```
┌────────────────────────────────────────────────────────────────────┐
│ Amazon Bedrock AgentCore │
│ │
│ ┌─────────┐ ┌─────────┐ ┌────────┐ ┌──────────┐ ┌─────────┐ │
│ │ Runtime │ │ Gateway │ │ Memory │ │ Identity │ │ Policy │ │
│ │(deploy) │ │ (MCP) │ │(state) │ │ (auth) │ │ (Cedar) │ │
│ └─────────┘ └─────────┘ └────────┘ └──────────┘ └─────────┘ │
│ │
│ ┌──────────────┐ ┌─────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │Code Interpret│ │ Browser │ │Observability│ │ Evaluations │ │
│ │ (sandbox) │ │ (web) │ │ (OTEL) │ │(LLM judge) │ │
│ └──────────────┘ └─────────┘ └─────────────┘ └─────────────┘ │
│ │
│ ┌──────────┐ ┌──────────┐ ┌─────────┐ │
│ │ Registry │ │ Payments │ │ Harness │ │
│ │(catalog) │ │ (x402) │ │(managed)│ │
│ └──────────┘ └──────────┘ └─────────┘ │
└────────────────────────────────────────────────────────────────────┘
```
## Standard Workflow
When the user asks to build or deploy something with AgentCore, follow this sequence:
```
1. UNDERSTAND scope → Which components? Which framework?
2. DESIGN architecture → Read relevant reference files
3. IMPLEMENT → Agent code + CDK IaC (cdk-patterns.md)
4. TEST locally → Python/SDK invocation tests
5. DEPLOY → CDK deploy
6. VERIFY → Observability + Evaluations
```
## API Endpoints (Critical — Wrong Endpoint = Error)
| Plane | Client Name | Use For |
|-------|------------|---------|
| Control | `bedrock-agentcore-control` | Create/manage runtimes, gateways, memory, evaluations |
| Data | `bedrock-agentcore` | Invoke agent runtimes |
| Gateway Data | `{gatewayId}.gateway.bedrock-agentcore.{region}.amazonaws.com` | Call a specific gateway's MCP endpoint |
Refer to [AgentCore endpoints and quotas](https://docs.aws.amazon.com/general/latest/gr/bedrock_agentcore.html) for current endpoints.
## CDK Module (L2 Constructs)
```typescript
import * as agentcore from 'aws-cdk-lib/aws_bedrockagentcore'; // TypeScript
```
```python
from aws_cdk import aws_bedrockagentcore as agentcore # Python
```
**Available in CDK ≥ 2.221.0** (alpha — breaking changes possible).
Key constructs: `Runtime`, `Gateway`, `Memory`, `BrowserCustom`, `CodeInterpreterCustom`, `OnlineEvaluation`, `WorkloadIdentity`
See [cdk-patterns.md](references/cdk-patterns.md) for complete IaC examples.
## Key Constraints (Always Apply)
- **ARM64 only for Runtime containers** — x86 images will not start
- **Protocol must be chosen before building container** (HTTP / MCP / A2A / AG-UI)
- **Endpoint required** — Runtime is not invocable until a Runtime Endpoint is created and READY
- **No secrets in environment variables** — use Secrets Manager
- **Production Runtimes must have authorizer** — never deploy unauthenticated
- **CDK alpha status** — `aws_bedrockagentcore` module may have breaking changes; pin CDK version
## Pricing (Consumption-based, No Upfront)
| Use Case | Estimated Cost |
|----------|---------------|
| Simple agent (low volume) | ~¥450/month |
| Customer support agent (high volume) | ~¥11,000/month |
| Exact rates | [AgentCore Pricing](https://aws.amazon.com/bedrock/agentcore/pricing/) |
## When to Read Reference Files
- Building/deploying agent → [runtime.md](references/runtime.md)
- Exposing APIs as MCP tools → [gateway.md](references/gateway.md)
- Adding memory to agent → [memory.md](references/memory.md)
- Auth / identity setup → [identity-policy.md](references/identity-policy.md)
- Browser / code sandbox → [tools.md](references/tools.md)
- Monitoring / evaluation → [observability-evals.md](references/observability-evals.md)
- Full CDK stacks → [cdk-patterns.md](references/cdk-patterns.md)
- Framework integration (Strands/LangGraph) → [frameworks.md](references/frameworks.md)
Pliki w paczce (9)
- SKILL.md 8 KB
- references/cdk-patterns.md 12 KB
- references/frameworks.md 8 KB
- references/gateway.md 10 KB
- references/identity-policy.md 7 KB
- references/memory.md 5 KB
- references/observability-evals.md 8 KB
- references/runtime.md 10 KB
- references/tools.md 7 KB
Wersje
W bazie nie ma innych skilli o nazwie amazon-bedrock-agentcore.
Identyczna treść występuje jeszcze w 1 innych folderach na GitHubie. Tu pokazujemy jedną, najlepiej ocenioną kopię.
Migawka bazy z 28.10.2026 · wersja paczki 8655417627f9 (skrót SHA-256 całej paczki)
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