langgraph-checkpoint

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LangGraph checkpoint and persistence configuration for stateful workflow management

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# LangGraph Checkpoint Skill ## Capabilities - Configure LangGraph checkpointing systems - Implement state persistence with various backends - Set up checkpoint serialization strategies - Design state recovery and replay mechanisms - Handle checkpoint versioning and migration - Implement checkpoint pruning strategies ## Target Processes - langgraph-workflow-design - conversational-memory-system ## Implementation Details ### Checkpoint Backends 1. **MemorySaver**: In-memory checkpointing for development 2. **SqliteSaver**: SQLite-based persistence 3. **PostgresSaver**: PostgreSQL backend for production 4. **RedisSaver**: Redis-based high-performance checkpointing ### Configuration Options - Checkpoint frequency settings - State serialization format - Compression options - TTL and retention policies - Thread-safe access configuration ### Best Practices - Use appropriate backend for scale - Implement proper serialization for custom state - Design for checkpoint size optimization - Plan for migration between backends ### Dependencies - langgraph - langgraph-checkpoint - Backend-specific clients

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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