The Data Layer for Agents That Learn Together
Explore the agent-native data infrastructure for collective memory, shared knowledge, and decision traces.
Works with
Claude
Cursor
Codex
Coming Soon
CrewAI
LangChain
OpenAI Agents SDK
Lyzr
Arcade
AgentCore
Agents That Continuously Learn
Collective memory lets multi-agent systems learn and share
Shared Agent Knowledge
Build knowledge from conversations, real-time data sources, and knowledge bases
Decision Tracing and Auditability
See and understand exactly how multi-agentic systems learn, apply knowledge, and make decisions
Collective Memory
One agent’s learning instantly becomes a multi-agentic advantage.
Shared Knowledge
All agents can access a continuously updated knowledge layer.
Full Auditability
Trace every retrieval, memory update, and knowledge share, end to end.
Single MCP Endpoint
Instantly connect any agentic framework to your entire data layer.
Unified Data Layer
Vector, SQL, graph, and search delivered in a single Postgres-compatible database.
Efficient Economics
Multi-agent systems burn up to 15x fewer tokens with Meko.
Serverless Architecture
Scale to millions of agents without complex infrastructure management requirements.
Agent-Native Primitives
Stop modeling databases. Start building agents with purpose-built APIs.
Use Cases

When memory matters?
Personal Assistant
Learns scheduling preferences, communication style, and daily routines to provide proactive, personalized support.
Customer Support
Remembers past issues, customer history, and preferences to deliver contextual, efficient support without repetition.
Code Assistant
Understands project architecture, coding standards, and team conventions to maintain consistency across development.
Content Creator
Maintains brand voice, style guidelines, and audience preferences to ensure consistent, on-brand content creation.
Learning Tutor
Tracks student progress, adapts difficulty, and personalizes teaching methods based on learning patterns and gaps.
Sales and CRM
Builds relationship context, remembers client needs, and pain points, enabling more meaningful and productive interactions.
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