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Memori

Memori

Memori Labs Inc.

Agent-native memory infrastructure turning AI agent conversations into structured, persistent, recallable state.

Updated 13h ago
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About Memori

Memori, made by Memori Labs Inc., is an agent-native memory infrastructure platform that captures and manages conversational data from AI agents, turning agent execution and conversation into structured, persistent state for production systems. It automatically classifies interactions into facts, preferences, rules, and summaries for later retrieval and recall. Memori offers automatic memory capture with user control over retention, targeted recall that pulls relevant context across conversations without external services, and semantic search that enriches fuzzy language queries with contextual awareness. It includes memory graph visualization showing relationships between entities across the memory network, analytics tracking creation, recall usage, and cache-hit rates, and security features including RBAC, data-retention controls, audit trails, and PCI/SOC 2 compliance for sensitive data. Memori is endorsed by major companies including MongoDB, CockroachDB, DigitalOcean, and SK Networks, with SDK integration and cloud services. Pricing is not fully disclosed on the homepage; a Pro plan is available with 3 months free through a startup program, with full pricing on Memori's pricing page.

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Key Information

Pricing
Contact
Free Trial
No
API Access
No
Category
AI Agents
Developer
Memori Labs Inc.
Last Updated
13h ago
Website Status
Online
Documentation
View Docs

Features

Automatic classification of agent conversations into memory
Targeted cross-conversation recall
Semantic search with contextual enrichment
Memory graph visualization
RBAC, audit trails, PCI/SOC 2 compliance
Startup program offering 3 months free Pro plan

Pricing

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Pricing is available by contacting the provider directly.

Pros and Cons

Cons

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Frequently Asked Questions

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