claude-flow
Version:
Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
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Markdown
Maintain context and learnings across Claude Code sessions for continuous improvement.
At session end, automatically saves:
- Active agents and specializations
- Task history and patterns
- Performance metrics
- Neural network weights
- Knowledge base updates
```javascript
// Using MCP tools for memory operations
mcp__claude-flow__memory_usage({
"action": "retrieve",
"key": "session-state",
"namespace": "sessions"
})
// Restore swarm state
mcp__claude-flow__context_restore({
"snapshotId": "sess-123"
})
```
**Fallback with npx:**
```bash
npx claude-flow hook session-restore --session-id "sess-123"
```
**Project Memory:**
- File relationships
- Common edit patterns
- Testing approaches
- Build configurations
**Agent Memory:**
- Specialization levels
- Task success rates
- Optimization strategies
- Error patterns
**Performance Memory:**
- Bottleneck history
- Optimization results
- Token usage patterns
- Efficiency trends
```javascript
// List memory contents
mcp__claude-flow__memory_usage({
"action": "list",
"namespace": "sessions"
})
// Delete specific memory
mcp__claude-flow__memory_usage({
"action": "delete",
"key": "session-123",
"namespace": "sessions"
})
// Backup memory
mcp__claude-flow__memory_backup({
"path": "./backups/memory-backup.json"
})
```
**Manual control:**
```bash
ls .claude-flow/memory/
export CLAUDE_FLOW_MEMORY_PERSIST=false
```
- 🧠 Contextual awareness
- 📈 Cumulative learning
- ⚡ Faster task completion
- 🎯 Personalized optimization