NetBrain vs NetKeep

NetBrain is an agentic network-operations platform for teams managing complex, multi-vendor networks. It uses live network context to help diagnose issues, assess risk, and manage changes across physical, virtual, cloud, and software-defined infrastructure. Its model includes device configuration, utilization, software versions, and topology; it maps Layer 2, Layer 3, overlay, and underlay networks and calculates paths across datacenter, WAN, and cloud. Named agents include Deep Diagnosis for root-cause analysis, Assessment for network checks, Change for governed runbooks, and Companion for everyday needs. NetBrain says agents read before writing and require user approval before execution. Runbook and intent-based automation support network operations. Connections include MCP, REST APIs, and webhooks, with named integrations such as ServiceNow, BigPanda, Dynatrace, Copilot, Gemini, and Claude. Its documentation describes role-based authentication, external authentication, password controls, and audit logs. The platform offers hybrid deployment and a time-limited trial license, but pricing is on request. NetBrain says it is not designed as a network-wide 24×7 monitoring solution and complements monitoring products.

NetKeep is a free, open-source, self-hosted system for collecting, versioning, comparing, and protecting network-device configurations. It uses Oxidized 0.37.0 to gather configurations and keeps each version in permanent Git history. Teams can search, download, and compare revisions with unified or side-by-side diffs. Read-only inventory synchronization is available with LibreNMS and NetBox. Notifications can be sent by email, signed webhook, or Telegram. Full backups may be encrypted and stored locally or in S3-compatible services, with private Git mirroring as another option. Roles include owner, administrator, operator, and reader; optional TOTP two-factor authentication and passkeys are supported. Safe mode exports and compares configurations without applying changes, although arbitrary Ruby or unreviewed drivers reduce that assurance. Installation needs a Linux amd64 or arm64 server, Docker Engine 25+, Docker Compose plugin 2.24+, and persistent storage. The product is on-premises under AGPL-3.0.