Conversation Memory Deep Dive
NeurosLink AI's Conversation Memory feature enables AI models to maintain context across multiple turns within a session, creating more natural and coherent conversations.
🧠 Overview
The conversation memory system provides:
Session-based memory: Each conversation session maintains its own context
Turn-by-turn persistence: AI remembers previous messages within a session
Automatic cleanup: Configurable limits to prevent memory bloat
Session isolation: Different sessions don't interfere with each other
In-memory storage: Fast, lightweight storage for conversation history
Universal Method Support: Works seamlessly with both
generate()andstream()methodsStream Integration: Full conversation memory support for streaming responses
⚙️ Configuration
Environment Variables
# Enable/disable conversation memory
NEUROLINK_MEMORY_ENABLED=true
# Maximum number of sessions to keep in memory
NEUROLINK_MEMORY_MAX_SESSIONS=50
# Maximum number of turns per session
NEUROLINK_MEMORY_MAX_TURNS_PER_SESSION=50Programmatic Configuration
🚀 Usage Examples
Basic Usage with Session ID
Streaming Support
The conversation memory system now fully supports streaming responses with the same memory persistence:
Mixed Generate/Stream Conversations
You can seamlessly mix generate() and stream() calls within the same conversation:
Session Isolation Example
📊 Memory Management
Turn Limits
When the number of conversation turns exceeds maxTurnsPerSession, older messages are automatically removed:
Session Limits
When the number of active sessions exceeds maxSessions, the least recently used sessions are removed:
🔌 API Reference
Memory Statistics
Session Management
🧪 Test Results
The conversation memory system has been thoroughly tested and validated:
✅ Test Suite Results
Basic Memory
✅ PASS
AI correctly remembers information across turns
Session Isolation
✅ PASS
Sessions remain completely separate
Turn Limits
✅ PASS
Automatic cleanup when limits exceeded
Session Limits
✅ PASS
LRU eviction of old sessions
API Functions
✅ PASS
Clear operations work correctly
Example Test Output
💡 Best Practices
1. Session ID Strategy
2. Memory Limits
3. Error Handling
🔧 Technical Implementation
Architecture
Message Format
🔍 Troubleshooting
Common Issues
Memory not persisting between calls
Ensure
sessionIdis consistent across callsVerify
conversationMemory.enabledis trueCheck that
sessionIdis a valid string
Performance issues with large conversations
Reduce
maxTurnsPerSessionlimitImplement session cleanup strategies
Monitor memory usage statistics
Session isolation not working
Verify different
sessionIdvalues are being usedCheck for session ID conflicts or duplicates
Debug Logging
🔗 Related Documentation
Redis Conversation Export - Export session history as JSON for analytics (Q4 2025)
API Reference - Complete SDK documentation
Configuration - Environment setup guide
Examples - More usage examples
Testing Guide - How to test conversation memory
📈 Performance Characteristics
Memory Usage: ~1KB per conversation turn
Lookup Time: O(1) for session retrieval
Cleanup Time: O(n) for session limit enforcement
Concurrency: Thread-safe in-memory operations
The conversation memory system is designed for production use with efficient memory management and robust error handling.
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