Productivity
claude-flow-memory - Claude MCP Skill
Interact with Claude-Flow memory system
SEO Guide: Enhance your AI agent with the claude-flow-memory tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to interact with claude-flow memory system... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# 🧠 Claude-Flow Memory System The memory system provides persistent storage for cross-session and cross-agent collaboration with CRDT-based conflict resolution. ## Store Information ```bash # Store with default namespace ./claude-flow memory store "key" "value" # Store with specific namespace ./claude-flow memory store "architecture_decisions" "microservices with API gateway" --namespace arch ``` ## Query Memory ```bash # Search across all namespaces ./claude-flow memory query "authentication" # Search with filters ./claude-flow memory query "API design" --namespace arch --limit 10 ``` ## Memory Statistics ```bash # Show overall statistics ./claude-flow memory stats # Show namespace-specific stats ./claude-flow memory stats --namespace project ``` ## Export/Import ```bash # Export all memory ./claude-flow memory export full-backup.json # Export specific namespace ./claude-flow memory export project-backup.json --namespace project # Import memory ./claude-flow memory import backup.json ``` ## Cleanup Operations ```bash # Clean entries older than 30 days ./claude-flow memory cleanup --days 30 # Clean specific namespace ./claude-flow memory cleanup --namespace temp --days 7 ``` ## 🗂️ Namespaces - **default** - General storage - **agents** - Agent-specific data and state - **tasks** - Task information and results - **sessions** - Session history and context - **swarm** - Swarm coordination and objectives - **project** - Project-specific context - **spec** - Requirements and specifications - **arch** - Architecture decisions - **impl** - Implementation notes - **test** - Test results and coverage - **debug** - Debug logs and fixes ## 🎯 Best Practices ### Naming Conventions - Use descriptive, searchable keys - Include timestamp for time-sensitive data - Prefix with component name for clarity ### Organization - Use namespaces to categorize data - Store related data together - Keep values concise but complete ### Maintenance - Regular backups with export - Clean old data periodically - Monitor storage statistics - Compress large values ## Examples ### Store SPARC context: ```bash ./claude-flow memory store "spec_auth_requirements" "OAuth2 + JWT with refresh tokens" --namespace spec ./claude-flow memory store "arch_api_design" "RESTful microservices with GraphQL gateway" --namespace arch ./claude-flow memory store "test_coverage_auth" "95% coverage, all tests passing" --namespace test ``` ### Query project decisions: ```bash ./claude-flow memory query "authentication" --namespace arch --limit 5 ./claude-flow memory query "test results" --namespace test ``` ### Backup project memory: ```bash ./claude-flow memory export project-$(date +%Y%m%d).json --namespace project ```
Signals
Information
- Repository
- ruvnet/claude-flow
- Author
- ruvnet
- Last Sync
- 3/12/2026
- Repo Updated
- 3/12/2026
- Created
- 1/16/2026
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