Tech Framework
The open, model-agnostic stack your agents run on. Every layer is composable and governed, so you can bring your own models and tools without giving up control or auditability.
Models
Bring any model — Claude, GPT, Llama, or your own — behind one interface. Swap models per agent without rewrites.
Orchestration
Plan, route, and chain steps across agents and tools, with retries and guardrails built into the loop.
Memory & Context
Durable memory and retrieval give agents the context of your org, scoped to what each is allowed to see.
Tool Use
Connect tools over MCP, functions, and APIs so agents can act in your systems under permission.
Evaluation
Score agent output against test sets and live traffic to catch regressions before they reach users.
Governance
Approvals, policies, access mapping, and audit trails wrap every layer so the whole stack stays accountable.