A complete operating system for AI agents.
Runtime, orchestration, identity, policy, observability, evals, and a marketplace — in one platform.
Durable agent execution at any scale.
Every agent step is a Temporal-backed activity — retryable, replayable, and survivable across deploys. State is captured automatically; nothing is lost when an LLM hiccups.
- → Bounded retries with backoff and circuit-breakers
- → Per-step caching with semantic deduplication
- → Cross-region replay for compliance + debugging
# planner.ts await agent.plan({ goal: "Close month-end books", context: ledger, policy: "finance.month-close.v3" });
Multi-agent workflows that don't fall over.
A first-class state machine for planner / executor / verifier / writer patterns. Compose specialist agents into reliable systems with shared memory, tool ACLs, and self-consistency voting.
Approve before act, not after.
A declarative DSL — spend caps, allow-/blocklists, escalation paths, two-person rules — evaluated before each tool call. Block prompt injection at the perimeter, not in the model.
policy deal-desk { when tool == "crm.update_opportunity" and change.contract_value > 5000 require approval from role("deal-desk") log reason }
Every step. Every dollar. Every prompt.
OpenTelemetry-native traces. Prompt diffs between versions. Per-workflow cost attribution. One-click replay. Export to Datadog, Grafana, Snowflake, or your warehouse.
Ship with confidence, not vibes.
Golden datasets, regression nets, and shadow-eval in production. Hook into CI to block deploys when accuracy regresses on critical workflows. Publish your numbers — we publish ours.
| Eval | v12 | v13 |
|---|---|---|
| Refund classification | 94.1% | 96.8% |
| Contract redline | 89.7% | 91.2% |
| SOC2 evidence | 97.0% | 96.4% |
200+ native connectors. Semantic, not OAuth-deep.
Bidirectional, idempotent integrations with permission-aware retrieval. Plus MCP, REST, GraphQL, and webhooks for everything else.
Browse integrationsWhat ships in every plan.
Multi-modal input
Text, voice, screenshots, PDFs, video, structured data.
Long-context reasoning
Reason across the full workspace history, not just the current turn.
Confidence scoring
Every output carries a confidence and abstains when unsure.
Human-in-the-loop
Inline review UI for any consequential action.
Webhook + REST + MCP
Programmatic embedding for your own apps and partners.
Fine-tuned specialists
Per-customer models trained on your labeled traces.