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Skill
/langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill langgraph-checkpoint --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill langgraph-checkpoint -a windsurf -y
SKILL.md
langgraph-checkpoint.SKILL.mdname: langgraph-checkpoint
description: LangGraph checkpoint and persistence configuration for stateful workflow management
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
graph:
domains: [domain:software-engineering]
specializations: [specialization:ai-agents-conversational]
skillAreas: [skill-area:agentic-loops, skill-area:context-management]
roles: [role:ml-engineer, role:backend-engineer]
workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
topics: [topic:design-patterns]
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
Read more
name: langgraph-checkpoint description: LangGraph checkpoint and persistence configuration for stateful workflow management allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:agentic-loops, skill-area:context-management] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle] topics: [topic:design-patterns]
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
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Questions about langgraph-checkpoint.
- Which coding agents can use langgraph-checkpoint?
- langgraph-checkpoint installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.