Persistent Memory
for AI Agents
An immutable, bitemporal knowledge graph that gives your AI agents long-term memory. Accessible via MCP and REST API.
Why MemLayer?
Give your AI agents the memory infrastructure they need to deliver real value.
Persistent Memory
Your agents remember everything. Conversations, decisions, and context persist across sessions without manual state management.
Bitemporal Knowledge Graph
Track what your agents knew and when. Full audit trail with point-in-time queries. Roll back to any moment in your knowledge history.
MCP + REST API
Native Model Context Protocol support for seamless LLM integration. Full REST API for custom workflows and direct programmatic access.
Fully Managed
No infrastructure to maintain. We handle scaling, uptime, and updates so your team can focus on building AI products.
How It Works
Three operations that give your agents structured, persistent memory.
Retain
Store memories with automatic entity extraction, deduplication, and knowledge graph integration. MemLayer decides whether to create, update, or skip.
Recall
Semantic search with temporal re-ranking and graph traversal. Your agents retrieve exactly the context they need, when they need it.
Reflect
Consolidate scattered facts into higher-level concepts and domains. Let the system organize knowledge so your agents can reason at scale.
Built For
Teams building AI products that need to remember.
AI Assistants with Memory
Build assistants that remember user preferences, past conversations, and decisions. No more repeating context every session.
Autonomous Agent Workflows
Multi-step agents that retain state across tasks. Share knowledge between agents in a workflow without brittle handoff mechanisms.
Enterprise Knowledge Management
Capture institutional knowledge from AI interactions. Bitemporal queries let you audit what was known and when for compliance.
How MemLayer Compares
More than a vector database. Purpose-built for agent memory.
| Feature | MemLayer | Vector DB | Plain RAG |
|---|---|---|---|
| Persistent agent memory | ✓ | — | — |
| Bitemporal queries | ✓ | — | — |
| Knowledge graph | ✓ | — | — |
| Entity deduplication | ✓ | — | — |
| MCP native support | ✓ | — | — |
| REST API | ✓ | ✓ | ✓ |
| Semantic search | ✓ | ✓ | ✓ |
| Managed cloud | ✓ | ✓ | — |
| Audit trail | ✓ | — | — |
| Automatic consolidation | ✓ | — | — |
What Teams Are Saying
"MemLayer gave our agents the memory they needed to go from demos to production."
"The bitemporal queries changed how we think about AI audit trails."
"We replaced three different tools with MemLayer and simplified our entire agent stack."
Pricing
Start free. Scale when you're ready.
Starter
Get started with agent memory
- ✓ MCP + REST API
- ✓ Up to 1,000 memories
- ✓ Semantic search
- ✓ Community support
Pro
For teams building production AI products
- ✓ Unlimited memories
- ✓ Bitemporal queries
- ✓ Knowledge graph
- ✓ Priority support