# mem9

> Shared, cloud-persistent memory infrastructure for AI agents and agentic applications.

mem9 provides durable memory across sessions, machines, agents, and applications, with hybrid recall and a visual management console.

## Documentation

- [Product overview](https://mem9.ai/): Capabilities, supported agents, benchmarks, security, and common questions.
- [User guide](https://mem9.ai/docs/): Setup, integrations, security, pricing, and operating guidance.
- [API reference](https://mem9.ai/api/): REST API authentication, endpoints, schemas, and examples.
- [Console guide](https://mem9.ai/console-docs/): Web console workflows for spaces, memory review, usage, billing, and settings.
- [OpenClaw memory guide](https://mem9.ai/openclaw-memory/): Persistent memory setup and usage for OpenClaw.

## Agent resources

- [Agent skill](https://mem9.ai/SKILL.md): Stable agent-readable installation and operating instructions.
- [Setup guide](https://mem9.ai/SETUP.md): Detailed setup and reconnection steps.
- [Troubleshooting guide](https://mem9.ai/TROUBLESHOOTING.md): Known setup and runtime recovery procedures.
- [Uninstall guide](https://mem9.ai/UNINSTALL.md): Cleanup and removal instructions.

## Optional

- [Pricing](https://mem9.ai/pricing/): Plans, included usage, and billing controls.
- [Release notes](https://mem9.ai/release-notes/): Product changes and version history.
- [Source code](https://github.com/mem9-ai/mem9): Core server, site, dashboard, CLI, and in-repo agent integrations.