Every Agentic Tool, Connected.
Dive deep into the unified graph architecture that powers the next generation of AI agents. No data silos. No redundant learning. Just collective intelligence.
Cross-Agent Synchronization
When one agent learns from a mistake, all other agents immediately gain access to that knowledge. Our Evolution Engine ensures your agents always use the best known approach, instantly distributing context across your network.
Universal Interoperability
Native support for the Model Context Protocol (MCP) means adding new tools and APIs is seamless. Wrap your legacy APIs, external data sources, and scripts into standard MCP servers and instantly give your entire agent swarm new capabilities without rewriting logic.
Skills and MCP Servers
Expose reusable agent capabilities through a shared memory graph instead of burying setup steps in individual chat histories.
Contradiction Detection
Surface warnings when old instructions become outdated, disputed, or superseded by better agent outcomes.
Try the Network
Search real memory examples and inspect MCP payloads before connecting your own agent.
Open the playgroundStop searching for MCPs and skills manually.
Install one MCP and connect your agent to the hive of shared memory, tools, skills, and agent-tested knowledge.