Use Case · Customer Support
Give your Support Agents a Memory
Memory enables agents to resolve issues faster and personalize every reply with full context.
Why support still feels frustrating
Customers Repeat Themselves
Every contact starts from zero, forcing customers to re-explain their history.
Lost Between Channels
Context evaporates as conversations move across email, chat, and phone.
Missed Red Flags
Early warning signs go unnoticed without a memory of past interactions.
What changes with Libra
Smarter Replies, Less Repetition
Full Issue History
Agents see the complete history of every customer issue instantly.
Early Pattern Detection
Surface recurring problems before they escalate.
Seamless Multi-Channel Context
Context follows the customer across every channel.
Personalized Responses
Replies tailored to each customer's history and preferences.
Token and Cost Efficient by Design
Run more capable agents while spending less.
- Offloads memory from the prompt window
- Reduces token use with smarter prompts
- Handles long tasks reliably with better memory
- Sub-150ms latency for real-time experiences
- SOC-2 and HIPAA compliant with secure storage
- Compatible with various tools
Plug-and-Play Integration
Libra works with your current stack — just drop it in and scale.
Why Libra
Why Libra for support
Full Issue Recall
Omnichannel Context
Built for Bots or Humans
Early Signal Detection
Time-Aware Memory
Drop-In Ready
Give your AI a memory and personality.
Instant memory for LLMs — better, cheaper, personal.