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Libra vs Mastra: Which AI Memory Platform Is Better for Production Agents?
Overview
Mastra is an agent framework with built-in memory. Libra is a dedicated memory layer you can drop into any stack, including Mastra.
Benchmarks
Libra publishes only numbers it can reproduce. Figures below are placeholders.
| Benchmark | Libra | Mastra |
|---|---|---|
| LongMemEval | <score> | <score> |
| LoCoMo | <score> | <score> |
| BEAM | <score> | <score> |
Key Advantages of Libra
Token efficiency and selective retrieval keep the right context in the window while spending fewer tokens — so agents stay accurate and affordable at scale.
When to Choose Libra Over Mastra
Choose Libra if…
- You want memory independent of your framework
- Token efficiency and accuracy are priorities
- You need enterprise deployment options
Choose Mastra if…
- You want an all-in-one agent framework
- You're standardizing on Mastra end to end
Pricing
Libra offers a free tier and usage-based paid plans; pairs well alongside Mastra.
Quick Integration
SDKs for Python and JavaScript, plus REST APIs — drop Libra into your stack in minutes.
Enterprise Features
SOC 2 / HIPAA compliance, with Kubernetes and private-cloud deployment options.
Give your AI a memory and personality.
Instant memory for LLMs — better, cheaper, personal.