# Memco Docs

> Memco provides a governed continual learning memory layer for AI agents, connecting via MCP.

## Getting Started

- [Memco Documentation](https://docs.memco.ai/): Memco is a governed continual learning memory layer for AI agents, connecting via MCP.
- [Quickstart](https://docs.memco.ai/quickstart/): Connect Memco to your AI agent in under 5 minutes using plugins or MCP.

## Concepts

- [How Memco Works](https://docs.memco.ai/concepts/how-memco-works/): The memory lifecycle in Memco: how knowledge is created, curated, retrieved, and improved over time.
- [Knowledge Domains](https://docs.memco.ai/concepts/knowledge-domains/): How Memco domains define the semantics for creating, searching, and tagging knowledge within specific areas of work.
- [Trust](https://docs.memco.ai/concepts/trust/): How TrustDist scores and validates knowledge based on accumulated evidence.
- [Privacy](https://docs.memco.ai/concepts/privacy/): How Memco protects your data: what gets stored, who can access it, and the security practices behind it.

## MCP

- [MCP Overview](https://docs.memco.ai/mcp/overview/): How to connect to Memco via MCP, including multi-domain support and authentication.
- [Seed Your Workspace](https://docs.memco.ai/mcp/seed-your-workspace/): Bootstrap your team's shared memory from sessions, remembered notes, and instruction files already on your machine.
- [Tools Reference](https://docs.memco.ai/mcp/tools-reference/): Complete reference for Memco's MCP tools: list_domains, start_session, search, get_memory, create_memory, enrich_memory, share_feedback, and revert_memory.

## Personal Memory

- [Personal Memory](https://docs.memco.ai/personal-memory/overview/): Portable personal memory for AI agents — your preferences and context, available across every agent you use.
- [Seed Your Memory](https://docs.memco.ai/personal-memory/seed-your-memory/): Bootstrap your personal memory from preferences you have already written down in instruction files and agent memory.
- [Personal Memory Tools Reference](https://docs.memco.ai/personal-memory/tools-reference/): Complete reference for Memco Personal Memory's MCP tools: start_session, search, list_memories, get_memory, write_memory, update_memory, and delete_memory.

## SDK

- [SDKs](https://docs.memco.ai/sdk/index/): Client libraries for the Memco API.

## CLI

- [CLI Installation](https://docs.memco.ai/cli/installation/): How to install and configure the Spark CLI.
- [CLI Commands](https://docs.memco.ai/cli/commands/): Reference for all Spark CLI commands.

## Examples

- [Learning on the Job](https://docs.memco.ai/examples/learning-on-the-job/): A runnable example of an agent learning a business's unwritten policies through the Memco Memory MCP, with a measured learning curve.

## Changelog

- [Changelog](https://docs.memco.ai/changelog/): Release notes and changes to Memco.