Agent-native object storage MCP server with per-agent DID isolation and x402 pay-per-byte metering in real Base USDC, enabling autonomous agents to store and retrieve objects with hot, warm, or cold retention classes.
Enables agents to interact with any S3-compatible storage (AWS S3, LocalStack, MinIO) via MCP, providing tools like list, read, write, delete objects and buckets.
Provides persistent storage for AI agents via MCP and REST API, enabling saving and retrieving text, code, configs, and files with full-text search, tags, version history, and GitHub backup.
Enables LLM agents to interact with MinIO/S3 object storage, supporting bucket and object operations like listing, reading, writing, and generating presigned URLs.
MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
