COORDINATORloadinggpt-5.5 / low
COORDINATOR
DELEGATED WORKrouting
launching agent tracksAuditor queued.
Agent Orchestration
Proactive multi-agent orchestration. Multi-agent runs that plan, code, audit, and review in parallel.
One agent is a demo. Multiple agents is production.
Orchestrator runs governed, specialized agents in parallel against your real codebase
Specialist agents, not a generalist on a long loop
The kind of work that used to take a sprint, compressed into hours, with review gates that catch drift before it lands.
Define a run. Watch it work.
Multi-agent orchestration for complex engineering. So you ship code that's scalable, maintainable, tested, and secure.
orc up
Adversarial governance
Keeps every agent inside an established rule system - preventing deadlocks, stopping loops, and catching drift early.
Agents with purpose
Every Orchestrator run spins up specialized agents that each do one job well.
Coordinators
Top-level orchestration agent. Drives the workflow state machine, executes launch batches, and delegates all execution to worker roles.
Implementers
Generates production-ready code using tools, following OpenAPI specifications exactly.
Auditors
Performs comprehensive quality audits using Litmus checks with severity-prioritized reporting.
Reviewers
Reviews code for correctness, spec compliance, and quality. May formally challenge implementations.
Meta Observer
Monitors system-wide patterns, detects anomalies in agent behavior, and provides health assessments.
Researcher
Gathers context, researches documentation, and analyzes specifications before implementation.
Validators
Validates live APIs against specifications by starting servers, running tests, and comparing responses.
Strategist
Designs high-level strategies, evaluates trade-offs, plans multi-phase execution sequences. Provides recommendations the Coordinator acts on.
FAQ
Multi-agent orchestration coordinates specialized AI agents that each handle a defined role, such as planning, implementation, auditing, research, validation, or review, so complex software work can move in parallel.
Orchestrator has 11 distinct agent roles: coordinators, implementers, reviewers, auditors, validators, researchers, security checkers, strategists, meta observers, recorders, and UI implementers. A single run can use up to 20 agents drawn from these roles.
Orchestrator uses adversarial governance, review gates, rule systems, and role-specific responsibilities to catch drift, stop loops, and keep agents aligned with the task.
Yes. Orchestrator is designed around audited and reviewed output, making it a natural fit for teams that already rely on CI, pull requests, and human review gates.