Agent Workflows
Event-driven agent workflows with tools, memory, approvals, traces, and deployment controls.
What it includes
We build workflows where agents react to business events, choose tools, request approvals, and produce auditable outcomes.
- Intent routing and owner detection
- Tool execution and workflow state
- Human approval and escalation gates
- Trace replay and deployment controls
How we relate to LangGraph, OpenAI Agents SDK, and Mastra
We do not replace these frameworks. We build on top of them when they fit (LangGraph and the OpenAI Agents SDK are common substrates) and replace them only when an engagement needs deeper governance — versioned graphs, MCP-native tool surfaces, approval-aware routing, and eval-gated promotion. The work is the runtime around the framework, not a competing framework.
Related learning
The execution layer for event-driven agents: routing, tool calls, approvals, memory, retries, traces, and deployment controls.
Approval gates for workflows where correctness, risk, or accountability require human judgment.
Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.