Describe memory. Axonio builds it.
Turn plain language into production-ready memory infrastructure for agents and robots. From natural idea to live MCP endpoints and embedded databases in seconds.
From Natural Prompt to Production Architecture
See how a single prompt creates a full multi-modal cognitive infrastructure.
“Create memory for a logistics robot that remembers locations, objects, operators, and previous failures.”
3D warehouse aisle coordinates, shelf bounds, docking clearances
Pallet dimensions, weight capacities, barcode identifiers
Human supervisor personnel IDs, access keys, notification channels
Pick-and-place completed trajectories, waypoint transit times
Obstacle blockage events, reroute bypass policies, emergency stop logs
Aisle 4 CONTAINS Pallet 4821 MANAGED_BY Operator Sarah
From Idea → Schema → Deployment → Retrieval
The fastest bridge between concept and production-grade autonomous memory.
Idea (Natural Language)
Describe what your software agent or physical robot needs to recall in everyday English.
Schema & Primitives
Axonio drafts typed relational tables, vector dimensions, and object storage buckets instantly.
One-Click Deployment
Deploy straight to your workspace with live MCP endpoints and local SDK bindings ready.
Sub-0.4ms retrieval
Your agent or robot starts storing and querying memory in its active execution loop.
Or Start from Verified Architecture Blueprints
Pre-configured memory models for high-frequency autonomous agent and robotics archetypes.
Frequently Asked Questions
Do I need to design a database schema by hand?
No. Describe what your system needs in plain language and Memory Copilot synthesizes the vector dimensions, relational fields, object buckets, and graph edges automatically.
Can I edit the generated memory structure?
Yes. Every generated draft is fully interactive: you can rename fields, change data types, add constraints, or adjust graph relations before confirming deployment.
Does Memory Copilot support robotics and multimodal workloads?
Yes. If you mention sensor files, camera frames, or 3D coordinate logs, Memory Copilot automatically provisions Object Storage buckets with matching key prefixes alongside typed metadata tables.
How does an agent call the deployed memory?
Every deployed memory space immediately generates native Model Context Protocol (MCP) tool bindings like clawdb_remember and clawdb_search, as well as type-safe client SDK code.