{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Provides AWS-based persistence backends for LangGraph agents, including Bedrock AgentCore Memory, DynamoDB with S3 offloading, and Valkey checkpoint and document storage.","skillfed_tags":["aws-integration","agent-persistence","langgraph-extension"],"use_cases":["Build resumable chatbot agents that persist conversation state across sessions using Bedrock AgentCore Memory.","Store agent checkpoints in DynamoDB with automatic S3 offloading for long-running or memory-intensive workflows.","Cache LLM responses and computation results using Valkey to reduce latency and API costs.","Implement semantic search over agent memories and preferences stored in DynamoDB vector indexes.","Deploy multi-actor agent systems where each actor maintains separate session state via configurable thread and actor IDs."],"what_it_does":"LangGraph Checkpoint AWS is a persistence layer for LangGraph agents that integrates with AWS services. It offers three main storage strategies: Bedrock AgentCore Memory for managed session storage, DynamoDB with optional S3 offloading for checkpoint and document storage with vector search, and Valkey (Redis-compatible) for high-performance caching and checkpointing. The package acts as a checkpointer and document store, allowing LangGraph agents to resume from saved state across sessions and to retrieve long-term memories and preferences.\n\nThe package is designed for developers building stateful, resumable agents on AWS infrastructure. It handles the integration between LangGraph's checkpoint interface and AWS backend services, including automatic compression, TTL management, and intelligent offloading of large checkpoints to S3. Runtime dependencies are langgraph, langgraph-checkpoint, boto3, and typing_extensions; Valkey support is optional.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and provides well-integrated AWS persistence options for LangGraph agents. Choose it if you are building stateful agents on AWS and need checkpoint storage, document retrieval, or LLM response caching. No security vulnerabilities are known."},"id":"langgraph-checkpoint-aws","links":{"html":"https://skillfed.io/packages/langgraph-checkpoint-aws","md":"https://skillfed.io/packages/langgraph-checkpoint-aws.md","pypi":"https://pypi.org/project/langgraph-checkpoint-aws/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"langgraph-checkpoint-aws","python_support":"supports_current","summary":"A LangChain checkpointer implementation that uses Bedrock Session Management Service and ElastiCache Valkey to enable stateful and resumable LangGraph agents."},"popularity":{"monthly_downloads":567212,"position":5970,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.2.2"}