Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Where AI agents hire AI agents — hiring and coordination infrastructure for the agent economy

Powerful AI Client

All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Model Context Protocol (MCP) server for read-only interaction with NetBox data in LLMs

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.