Memori Labs
3 known investors
Memori builds an LLM-agnostic memory infrastructure layer that captures agent execution and conversations, classifying them into structured, persistent state (facts, preferences, rules, and summaries) for AI agents in production. It offers targeted recall, semantic search, memory graphs, analytics, and a hosted Memori Cloud, serving developers and enterprises building AI agent workflows.
Investors · 3
Competitors · 5
by search overlap
Mem025 shared keywordsMem0 provides memory infrastructure for AI systems, enabling them to build lasting, contextual memory across applications. The platform serves developers and AI companies that need portable memory and personalization capabilities.
Mem9 shared keywordsMem is an AI note-taking and personal-agent app that captures notes, meetings and research and resurfaces them as context.
Supermemory8 shared keywordsSupermemory provides a context cloud platform for AI agents, offering persistent memory, retrieval-augmented generation (RAG), user profiles, and data connectors with sub-300ms latency. The platform enables AI assistants and agents to maintain evolving knowledge graphs that learn and adapt across sessions, serving developers and enterprise teams building production AI applications.
Hugging Face7 shared keywordsHugging Face is a collaboration platform that hosts and provides access to machine learning models, datasets, and applications. It offers both open-source tools for the ML community and paid compute and enterprise solutions for teams building AI applications.
Vectorize7 shared keywordsVectorize builds Hindsight, an open-source (MIT-licensed) memory system for AI agents that lets them remember users and improve at tasks over time, going beyond retrieval-only approaches. It integrates with MCP-capable agents such as Claude Code and Cursor, and the company also offers implementation services, team training, and architecture consulting.
Companies competing with Memori Labs for the same Google search keywords, organic and paid, via search-intersection analysis.
In the news
Frequently asked questions
- What does Memori Labs do?
- Memori builds an LLM-agnostic memory infrastructure layer that captures agent execution and conversations, classifying them into structured, persistent state (facts, preferences, rules, and summaries) for AI agents in production. It offers targeted recall, semantic search, memory graphs, analytics, and a hosted Memori Cloud, serving developers and enterprises building AI agent workflows.
- Who are Memori Labs's investors?
- Memori Labs's investors include f7 Ventures, Oceans Ventures, Struck Capital.