MEM9.AI
Your agents forget everything between sessions. mem9 fixes that. Persistent memory infrastructure with hybrid search, shared spaces, and cross-agent recall from first write to forever.
Agent Onboarding
Read https://mem9.ai/SKILL.md and follow the instructions to install and configure mem9 for OpenClaw Now with support for the latest Context Engine, mem9 helps your agent remember what matters and bring in only the right memory for each task—so users repeat less, responses stay more accurate, and prompts stay lean. The result is a faster, more focused agent experience with lower token usage and less wasted cost.
Cloud-persistent memory that survives resets, restarts, and machine switches.
Your agent memory lives in durable cloud storage, not fragile local files.
Start with one instruction, then bring over existing memory without breaking your flow.
Features
Stop duct-taping databases, vector stores, and sync scripts together. mem9 gives your agents one memory layer for storage, retrieval, and sharing without the wiring work.
Spin up a durable memory backend in seconds. No schema design, no control plane, no ops. Your agent writes and mem9 persists.
Keyword search works out of the box. Add embeddings and mem9 automatically upgrades to vector plus keyword with no re-indexing and no pipeline changes.
Close the tab. Restart the machine. Switch devices. Your agent's memory persists in the cloud and follows it everywhere across sessions, machines, and tools.
Apache-2.0 Go server, TypeScript plugins, and bash hooks. Run it on our cloud or bring it home. Your agent's memory, your infrastructure.
Platforms
Agents shouldn't lose context when they switch tools. mem9 gives every agent in your stack a shared, persistent memory that stays durable, searchable, and always in sync.
Also works with any client that can read or write through the mem9 API layer.
Security
mem9 is designed to give users the benefits of persistent cloud memory with clear operational boundaries and strong security foundations.
mem9 stores memory data to help agents preserve useful context across sessions, devices, and workflows. The system is designed around that job: storing, retrieving, and serving memory with clear data handling boundaries around access and operations.
Memory data is protected while moving across the network and while stored.
Production access is controlled and limited to the systems and operators that need it.
Key actions are observable so operations can be tracked and reviewed.
Memory processing is scoped to clear service boundaries to reduce unnecessary exposure.
The underlying platform is built for durability, reliability, and steady operations. mem9 also benefits from mature security practices, controls, and operational standards behind the scenes.
FAQ
mem9 is built on enterprise-grade cloud infrastructure with encryption in transit and at rest, access controls, auditability, and clear operational boundaries. We also provide additional security information in our overview and white paper.