A semantic layer for agents connects any tool or API to AI agents without manual mappings, enabling automatic self-healing, hybrid MCP-CLI execution, and seamless protocol translation across systems and agents.
Get startedCreate across agents, tools, and APIs without worrying about schema drift or protocol mismatches—everything just works through one smart self-healing layer.
Learn more →Our self-healing engine makes connecting any tool simple and fixes schema mismatches in real time. Stay reliable, scale effortlessly, and evolve.
Our intelligent router turns every task into the optimal execution by choosing MCP or CLI backends automatically, balancing cost, latency and reliability so agents run efficiently without manual configuration or performance surprises.
The EAT layer gives every agent, tool, and API a single secure identity, manages semantic permissions automatically, and ensures all requests stay safe, verified, and fully controlled across protocols.
Get to market faster by eliminating custom glue code and endless schema fixes.
Normalize data across any tool or protocol so your agent always receives consistent meaning.
Use one lightweight semantic layer to connect any agent, tool, or API effortlessly.
Self-healing reconciliation and smart routing guarantee your integrations stay stable even when APIs change.
Rely on a single EAT token and semantic permissions to keep every agent-tool interaction safe.
Monitor every tool call with semantic traces, healing events, and real-time routing decisions.
Start instantly with universal onboarding, clean CLI commands, and zero manual mappings.