# Send aws-agentcore-langgraph to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "aws-agentcore-langgraph", "name": "aws-agentcore-langgraph", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/killerapp/aws-agentcore-langgraph", "canonicalUrl": "https://clawhub.ai/killerapp/aws-agentcore-langgraph", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/aws-agentcore-langgraph", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aws-agentcore-langgraph", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/agentcore-cli.md", "references/agentcore-gateway.md", "references/agentcore-memory.md", "references/agentcore-runtime.md", "references/langgraph-patterns.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "aws-agentcore-langgraph", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-11T16:27:33.182Z", "expiresAt": "2026-05-18T16:27:33.182Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aws-agentcore-langgraph", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aws-agentcore-langgraph", "contentDisposition": "attachment; filename=\"aws-agentcore-langgraph-1.0.2.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "aws-agentcore-langgraph" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/aws-agentcore-langgraph" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/aws-agentcore-langgraph", "downloadUrl": "https://openagent3.xyz/downloads/aws-agentcore-langgraph", "agentUrl": "https://openagent3.xyz/skills/aws-agentcore-langgraph/agent", "manifestUrl": "https://openagent3.xyz/skills/aws-agentcore-langgraph/agent.json", "briefUrl": "https://openagent3.xyz/skills/aws-agentcore-langgraph/agent.md" } } ``` ## Documentation ### AWS AgentCore + LangGraph Multi-agent systems on AWS Bedrock AgentCore with LangGraph orchestration. Source: https://github.com/aws/bedrock-agentcore-starter-toolkit ### Install pip install bedrock-agentcore bedrock-agentcore-starter-toolkit langgraph uv tool install bedrock-agentcore-starter-toolkit # installs agentcore CLI ### Quick Start from langgraph.graph import StateGraph, START from langgraph.graph.message import add_messages from langgraph.prebuilt import ToolNode, tools_condition # routing + tool execution from bedrock_agentcore.runtime import BedrockAgentCoreApp from typing import Annotated from typing_extensions import TypedDict class State(TypedDict): messages: Annotated[list, add_messages] builder = StateGraph(State) builder.add_node("agent", agent_node) builder.add_node("tools", ToolNode(tools)) # prebuilt tool executor builder.add_conditional_edges("agent", tools_condition) # routes to tools or END builder.add_edge(START, "agent") graph = builder.compile() app = BedrockAgentCoreApp() # Wraps as HTTP service on port 8080 (/invocations, /ping) @app.entrypoint def invoke(payload, context): result = graph.invoke({"messages": [("user", payload.get("prompt", ""))]}) return {"result": result["messages"][-1].content} app.run() ### CLI Commands CommandPurposeagentcore configure -e agent.py --region us-east-1Setupagentcore configure -e agent.py --region us-east-1 --name my_agent --non-interactiveScripted setupagentcore launch --deployment-type containerDeploy (container mode)agentcore launch --disable-memoryDeploy without memory subsystemagentcore devHot-reload local dev serveragentcore invoke '{"prompt": "Hello"}'Testagentcore destroyCleanup ### Multi-Agent Orchestration Orchestrator delegates to specialists (customer service, e-commerce, healthcare, financial, etc.) Specialists: inline functions or separate deployed agents; all share session_id for context ### Memory (STM/LTM) from bedrock_agentcore.memory import MemoryClient memory = MemoryClient() memory.create_event(session_id, actor_id, event_type, payload) # Store events = memory.list_events(session_id) # Retrieve (returns list) STM: Turn-by-turn within session | LTM: Facts/decisions across sessions/agents ~10s eventual consistency after writes ### Gateway Tools python -m bedrock_agentcore.gateway.deploy --stack-name my-agents --region us-east-1 from bedrock_agentcore.gateway import GatewayToolClient gateway = GatewayToolClient() result = gateway.call("tool_name", param1=value1, param2=value2) Transport: Fallback Mock (local), Local MCP servers, Production Gateway (Lambda/REST/MCP) Auto-configures BEDROCK_AGENTCORE_GATEWAY_URL after deploy ### Decision Tree Multiple agents coordinating? → Orchestrator + specialists pattern Persistent cross-session memory? → AgentCore Memory (not LangGraph checkpoints) External APIs/Lambda? → AgentCore Gateway Single agent, simple? → Quick Start above Complex multi-step logic? → StateGraph + tools_condition + ToolNode ### Key Concepts AgentCore Runtime: HTTP service on port 8080 (handles /invocations, /ping) AgentCore Memory: Managed cross-session/cross-agent memory LangGraph Routing: tools_condition for agent→tool routing, ToolNode for execution AgentCore Gateway: Transforms APIs/Lambda into MCP tools with auth ### Naming Rules Start with letter, only letters/numbers/underscores, 1-48 chars: my_agent not my-agent ### Troubleshooting IssueFixon-demand throughput isn't supportedUse us.anthropic.claude-* inference profilesModel use case details not submittedFill Anthropic form in Bedrock ConsoleInvalid agent nameUse underscores not hyphensMemory empty after writeWait ~10s (eventual consistency)Container not reading .envSet ENV in Dockerfile, not .envMemory not working after deployCheck logs for "Memory enabled/disabled"list_events returns emptyCheck actor_id/session_id match; event['payload'] is a listGateway "Unknown tool"Lambda must strip ___ prefix from bedrockAgentCoreToolNamePlatform mismatch warningNormal - CodeBuild handles ARM64 cross-platform builds ### References agentcore-cli.md - CLI commands, deployment, lifecycle agentcore-runtime.md - Streaming, async, observability agentcore-memory.md - STM/LTM patterns, API reference agentcore-gateway.md - Tool integration, MCP, Lambda langgraph-patterns.md - StateGraph design, routing reference-architecture-advertising-agents-use-case.pdf - Example multi-agent architecture ## Trust - Source: tencent - Verification: Indexed source record - Publisher: killerapp - Version: 1.0.2 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-11T16:27:33.182Z - Expires at: 2026-05-18T16:27:33.182Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/aws-agentcore-langgraph) - [Send to Agent page](https://openagent3.xyz/skills/aws-agentcore-langgraph/agent) - [JSON manifest](https://openagent3.xyz/skills/aws-agentcore-langgraph/agent.json) - [Markdown brief](https://openagent3.xyz/skills/aws-agentcore-langgraph/agent.md) - [Download page](https://openagent3.xyz/downloads/aws-agentcore-langgraph)