Open Source · MIT License

AI that never forgets.

Memory infrastructure for AI agents. Every conversation remembered. Every preference learned. Every relationship preserved — permanently.

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Tests Passing
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Memory Agents
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Recall Latency

The Problem

Every AI session starts from zero.

Your AI assistant forgets you exist between conversations. Context compaction destroys mid-session reasoning. Platform memory is shallow — transcripts, not understanding. Hardware migrations mean starting over.

AI Engram fixes this. Not with bigger context windows. With memory architecture.

User:I'm Leo, CTO of Knight Ventures. We're building an AI memory framework.
AI: Nice to meet you! How can I help?
— session ends —
User: What do you know about my company?
AI:I don't have any information about your company. Could you tell me more?

How It Works

🎤

You Talk

Share thoughts, facts, preferences — anything. Guardian listens and understands context.

🧠

Guardian Remembers

Five specialized agents extract, classify, consolidate, and maintain your memories.

⚡

AI Recalls

Any AI can retrieve relevant memories instantly. Context survives across sessions, platforms, and time.

Five-Agent Architecture

Guardian uses a pipeline of specialized agents, each focused on one aspect of memory management.

1

Scribe

Captures conversation context

2

Extractor

Identifies discrete memories

3

Consolidator

Merges and deduplicates

4

Curator

Maintains and archives

5

Retriever

Recalls on demand

Try Guardian Now

Experience AI with real memory. No signup required for the demo.

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