Memory That Persists
Atarla is a portable, persistent memory layer for AI agents. Store context, retrieve it across conversations, and keep your agents grounded.
Why Atarla
Portable
Export and import memory anywhere. Own your agent data.
Persistent
Memory survives across conversations, sessions, and deployments.
MCP-Native
Plugs into Claude and other agents via the Model Context Protocol.
Self-Hostable
Run Atarla on your own infrastructure. No vendor lock-in.
How It Works
Initialize
Create an Atarla instance in your agent.
Store
Save context, decisions, and state to memory.
Retrieve
Query memory when you need historical context.
Sync
Export, import, or replicate memory across deployments.
Architecture
Atarla is built for self-hosting and portability. The core is a memory store (JSON or plaintext); agents query it via MCP; you control the deployment.
Your Agent
Claude, GPT, or custom
MCP Client
Query / Store
Atarla Core
Memory store + API
Storage
Local / S3 / DB
Built for Developers
Atarla is self-hosted, MCP-native, and designed for control. Deploy it locally, in the cloud, or on-premises. No vendor lock-in. No proprietary APIs.
MCP Server Standard protocol, any compatible agent
JSON API Query, store, sync memory programmatically
Docker Ready Containerized, with examples included
Request Access
Atarla is in private beta. Join the waitlist.