
Visual platform for building, deploying, managing, and monitoring AI agent workflows across models, tools, and teams.
Orchestly is an AI workflow orchestration platform for teams that want to build, deploy, manage, and scale AI agent workflows from a visual canvas, with code-view options when needed. The platform focuses on multi-model routing and failover, workflow versioning, integrations, autonomous agent lifecycle management, guardrails, debugging, cost visibility, and enterprise controls.
AI Agent Store research
Orchestly is positioned as a visual AI workflow orchestration platform for deploying and managing agent workflows across models, integrations, governance controls, debugging, and cost management.
Verified August 25, 2026
Provides a drag-and-drop canvas for designing AI workflows, with the option to work in Python, TypeScript, or Java and switch between visual and code views.[1]
Routes requests to models based on cost, latency, and capability, with automatic failover to keep agents running.[1]
Includes Git-like versioning, visual diffs, property diffs, code diffs, approval gates, and instant rollback for workflow changes.[1]
Connects to LLM providers, communication tools, developer tools, CRMs, data stores, productivity apps, and marketing or social platforms, with the page citing 40+ native integrations and listing many supported services.[1]
Supports goal-driven autonomous agents with policies, teams, credential brokering, version-tracked sessions, and lifecycle management.[1]
Provides a configurable safety layer for LLM inputs and outputs, including PII redaction, prompt injection blocking, toxicity filtering, and execution logging.[1]
Allows teams to replay executions step by step with full state inspection at each node.[1]
Offers real-time visibility into per-model and per-workflow spending, with budgets, alerts, and cost optimization features.[1]
Lists SSO/SAML, RBAC, BYOK encryption, and audit logs as enterprise security capabilities.[1]
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
48%
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