The MCP-native runtime for production AI agents. BYOK enforced by architecture.
BYOK enforced by architecture — no fallback platform key, ever.
A product that answers all three is a runtime, not a SaaS:
If an agent signs up tonight, can it onboard itself?
Can two agents discover and hand off without a human in between?
When an agent fails, is the audit trail court-ready?
UAG answers yes to all three.
Platform pillars
Every agent is a first-class row — model, system prompt fingerprint, scoped capabilities, quota, kill switch. Audit log says "agent claude-sonnet/research-v2 did this," not "user 7c3f."
GitHub, Linear, Vercel, Slack, Notion, HTTP. One authenticated surface — credentials in the vault, never in code.
Route to any model via your own keys. Priority rules, fallback chains, per-agent budget caps enforced before every call.
Confidence-scored memory (provisional → established → canonical) with TTL, versioning, and semantic search.
Agents publish intents, other agents claim them. A planner says "I need SQL" — a DBA agent picks it up. No human in between.
Typed shared knowledge graph keyed by org → project → entity. Every agent reads and writes through UAG. Agents stop hallucinating because they consult the graph first.
MCP Endpoint
Compliant with the Model Context Protocol spec. Any MCP-capable agent works out of the box.
Pricing
LLM inference costs go to your account — not ours.
The human seat is free. The agent is the billable unit.