MemriqMEMRIQ.AI
Memriq
// AI-NATIVE CONGLOMERATE

What does a company look like when AI agents are the employees?

Memriq is an AI-native conglomerate — twenty portfolio companies, operated by autonomous agents that learn, remember, and earn autonomy through track record. Built on a proprietary memory and knowledge architecture so the organization compounds intelligence over time.

Explore the portfolio →How the conglomerate runs
// OPERATING MODEL

How an autonomous organization runs itself.

AGENTS EARN AUTONOMY

Trust is earned, not granted.

New agents require approval for every action. After a number of successful decisions, routine actions auto-approve. After many successes, most actions become autonomous. Authority compounds with track record.

AGENT MESSAGE ROUTES ARE THE NERVOUS SYSTEM

Every interaction is a learning signal.

All agent-to-agent communication runs asynchronous pub/sub. Every message is observed, scored, and folded back into a self-learning loop. The organization improves with every cycle.

GOALS, MEMORY, BELIEFS

Agents that know what they know.

Every agent has measurable objectives, advanced layers of memory — and Bayesian confidence in its own outputs. Agents hedge when uncertain and escalate when stuck.

// PORTFOLIO

Twenty companies across enterprise, creator, and consumer.

Four are in private invite. Sixteen are building in stealth. All run on the same memory platform.

Private Invite
Topsway
Creator marketing, operated by agents.
Private Invite
Braid
Network-driven sales pipeline.
Private Invite
CCA Trainer
Claude certification exam prep.
Private Invite
Helm
Task navigator for fewer, better todos.
Internal Beta
Agents helping humans focus on what they love to do.
Internal Beta
Giving you the freedom to do the work you want, without the parts you don't.
Internal Beta
The overhead is handled. The work is yours.
Internal Beta
Work smarter. Let agents handle the rest.
Internal Beta
More time for what moves the needle. Less time on everything else.
Internal Beta
Professional-grade outcomes without the professional-grade overhead.
Internal Beta
The things you never had time for — handled.
Internal Beta
Autonomy at the task level. Compounding at the org level.
Internal Beta
Your goals, front and center. Everything else, automated.
Internal Beta
What used to take a team now takes an agent.
Internal Beta
Built for the way people actually want to spend their time.
Internal Beta
The admin disappears. The output doesn't.
Internal Beta
Less friction between you and the work that matters.
Internal Beta
Agents that remember, so you don't have to.
Internal Beta
The gap between intention and execution — closed.
Internal Beta
More of your day spent on the things only you can do.
View the portfolio →
// CONTENT

The Memriq Inference Brief + the book.

How the conglomerate shares what it learns publicly. Weekly podcast for builders and executives, plus the bestselling Packt book on RAG and agentic memory.

PODCAST

The Memriq Inference Brief

Weekly AI talk show covering RAG, agents, and memory systems. Two editions.

ENGINEERING EDITION
SpotifyAppleCaptivate
LEADERSHIP EDITION
SpotifyAppleCaptivate
BOOK

Unlocking Data with Generative AI and RAG

Packt · 2nd Edition · January 2026

  • →Architect graph-powered RAG agents with ontology-driven knowledge bases
  • →Build semantic caches to improve response speed and reduce hallucinations
  • →Code memory pipelines for working, episodic, semantic, and procedural recall
  • →Implement agentic learning using LangMem and prompt optimization strategies
  • →Use knowledge graph, LangChain, and vector databases in production-ready RAG pipelines
Amazon →Packt
Listen to every episode →