Harness FME governs flags, configs, and AI configs on the Harness delivery platform under one governance model.
Harness FME is the runtime-management surface inside the Harness software delivery platform, treating feature flags, runtime configs, and AI configs as one governed system. Teams separate deployment from release through percentage-based targeting, gradual rollouts, and instant kill switches, while role-based access control, policies, approvals, and audit trails govern every runtime change.
Against single-purpose flag tools, Harness FME folds configuration and AI-config management and a statistical experimentation engine into the same delivery pipeline, so rollout, measurement, and rollback share one governance layer. It ships client-side and server-side SDKs for JavaScript, Flutter, Node.js, Python, and Elixir, integrates with observability and data tools such as Datadog, New Relic, and Snowflake, and serves product managers, developers, data scientists, and engineering leaders releasing software and agent behavior in production.
| Attribute | Harness FME | Feature Flags | |
|---|---|---|---|
| Provider |  |  | |
| Founded | 2016 | 2020 | |
| Sells To | B2B, Enterprise | — | |
| Pricing Model | Recurring, Software, Subscription | Recurring, Software, Usage-based | |
| Ownership | Private equity-backed, Venture-backed | Venture-backed |
Provider
Founded 2016
Sells To B2B, Enterprise
Pricing Model Recurring, Software, Subscription
Ownership Private equity-backed, Venture-backed
Provider
Founded 2020
Sells To —
Pricing Model Recurring, Software, Usage-based
Ownership Venture-backed
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