Meko offers:

- **Shared knowledge:** build shared knowledge over time from conversations, real-time data sources, and slower-changing knowledge bases.

- **Collective memory:** learning that compounds across the agents working together, as opposed to just per-agent memory.

- **Auditability of the learning process:** connect execution traces to how agents working together process data and knowledge, learn from it, and share that learning.

Meko integrates easily with any agentic framework through MCP servers. It is serverless, multi-tenant (multi-agentic), and optimized for tiering to object stores. It is built on top of a unified distributed PostgreSQL data layer that supports vector, SQL, NoSQL, graph, vector search, and graph search.

 
 

{{< card-group variant="three-quarter" >}}
  {{< card
    href="quick-start/"
    title="Quick Start"
    desc="Sign up for free, connect, and start using Meko with your agents in less than 60 seconds"
    cta="Get started &rarr;"
    image="images/database.svg"
  >}}
{{< /card-group >}}


## Learn more about Meko

{{< card-group >}}
  {{< card
    href="architecture/how-meko-fits/"
    title="How Meko fits"
    desc="Where Meko sits in your architecture and how it deploys."
    cta="Learn more &rarr;"
  >}}
  {{< card
    href="architecture/core-concepts/"
    title="Core concepts"
    desc="Understand the foundational building blocks of Meko."
    cta="Learn more &rarr;"
  >}}
{{< /card-group >}}

<!--
Meko is an agent-native data layer for agents that work and learn together.

Meko provides:

- Collective memory. Learning compounds across the whole system, not just per-agent.
- Shared knowledge. Knowledge is built over time from conversations, real-time feeds, and knowledge bases.
- Auditability. Meko connects execution traces to how agents learn and share that learning.
- Datapack model. Each tenant (agent or team) gets an isolated, portable datapack.

Meko is fully open-source and integrates easily with any agentic framework through MCP servers. It is built on top of a unified distributed PostgreSQL data layer that supports vector, SQL, NoSQL, graph, and search.

Meko is the agent-native data layer designed to unify agent knowledge, memory, and conversations, eliminating the impedance mismatch of traditional relational and vector databases.

*Memory, knowledge, and SQL for every AI agent with a single MCP endpoint.*-->


<!--
{{< card-group >}}
  {{< card
    href="guides/"
    title="Guides"
    desc="Step-by-step guides for memory, knowledge bases, database access, and observability."
    cta="Read guides &rarr;"
  >}}
{{< /card-group >}}

## Popular integrations

Meko is fully open-source and integrates easily with any agentic framework through MCP servers, including the following.

{{< card-group >}}
  {{< card
    href="integrations/connect-to-ai-agent/#cursor-desktop"
    title="Cursor Desktop"
    desc=""
    cta="Setup &rarr;"
  >}}
  {{< card
    href="integrations/connect-to-ai-agent/#claude-desktop"
    title="Claude Desktop"
    desc=""
    cta="Setup &rarr;"
  >}}
  {{< card
    href="integrations/connect-to-ai-agent/#claude-code"
    title="Claude Code"
    desc=""
    cta="Setup &rarr;"
  >}}
{{< /card-group >}}

[More integrations](/integrations/)

## How Meko works

Learn how Meko adds memory, knowledge, and SQL to agentic applications.

-->