Building the persistent
memory layer for AI
Lexic gives AI tools real memory. Structured knowledge your AI can read from and write to, with the relationships between your work captured and evolving over time.
Our Mission
Most AI assistants today reset between sessions. They forget your context, your decisions, your preferences. Every conversation starts from zero.
We believe AI becomes genuinely useful when it can remember. Not chat history snippets, but structured knowledge that compounds across sessions and tools. Lexic is the architecture for that memory: capture from many sources, automatic understanding through entity extraction and connection discovery, and a visible knowledge graph you can shape and trust.
What we believe
Memory is architecture, not a feature
Persistent context across sessions is not something you bolt onto a chatbot. It needs to be the foundation, with attribution, governance, and the ability to evolve over time.
Transparency is a prerequisite
If you are trusting a system to be your AI's memory, you need to see what it is doing. We show you exactly what every operation will analyze before you run it.
Your knowledge is yours
Export anytime, delete anytime. Architecture decisions on day one preserve user ownership and data portability.
Relationships matter more than documents
Notes alone are isolated files. The connections between them, automatically discovered and human-correctable, are where the value compounds.
Current state
Knowledge layer
Modern LLMs for entity extraction, vector embeddings for semantic search, and a knowledge graph that grows visible as you use it.
Security
Row-level security in PostgreSQL, encryption at rest and in transit, SOC 2 compliance path.
Integrations
MCP server integration with Claude Code and other AI coding environments, plus a REST API for custom integrations.
Ready to give your AI real memory?
Join the early access program and be among the first to build with Lexic.
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