Best Free Agentic DevOps Tools

Spacelift, via the Spacelift Infrastructure Orchestration Platform, manages the entire infrastructure lifecycle – provisioning, configuration and governance. Spacelift integrates with existing infrastructure tooling (e.g., Terraform, OpenTofu, CloudFormation, Pulumi, Ansible) to provide a single integrated workflow to deliver secure, cost-effective and resilient infrastructure, fast. Spacelift is redefining how infrastructure is provisioned and governed with Spacelift Intent, the first open source, agentic, natural language model for cloud infrastructure. Intent allows developers to provision resources instantly without writing HCL, while DevOps and Platform teams maintain full visibility, policy control, and auditability. Built on Terraform providers, Intent creates a new path for agility, complementing IaC and GitOps by making fast, low-ceremony provisioning safe and governed.

Aiden by OpsVerse is an AI-powered DevOps copilot designed to streamline workflows, automate repetitive tasks, and provide real-time insights into infrastructure and deployments. Powered by agentic AI, Aiden constantly learns from your team’s behavior and adapts to your specific needs, offering tailored responses and actions. It integrates seamlessly into your DevOps environment, proactively detecting and resolving issues, from scaling infrastructure to addressing deployment failures. Aiden ensures privacy-first design and compliance with data security policies, with deployment flexibility to fit your organization’s needs.

Nuphos is an AI-native DevOps workspace where engineering teams and AI agents operate production systems together without giving up control. Agents learn your infrastructure, investigate issues, and work across AWS, GCP, Kubernetes, Cloudflare, and the rest of your stack while using fine-grained IAM permissions, human approvals, and full audit trails. Each agent session can be scoped with native IAM roles and short-lived, least-privilege credentials, and anything that changes infrastructure is first proposed as a plan for approval. Agents can inspect resources, open dashboards, read logs, generate plans, request approval, and take safe actions while building memory of services, environments, workflows, runbooks, and operational history. Engineers and agents share the same DevOps workspace instead of jumping between terminals, cloud consoles, dashboards, and documentation.

NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.

Strike48 is the Agentic Operations Platform combining complete log visibility with customizable AI agents that run security, IT, and compliance operations at machine speed. Most organizations monitor only about 60-70% of their environment because traditional SIEM and observability platforms make full log coverage cost-prohibitive. Strike48 closes that visibility gap with architecture that decouples storage from upfront parsing decisions, letting teams ingest and retain all their logs without breaking budgets. Bring your logs or query them where they already live (Splunk, data lakes, cloud, on-prem), no rip-and-replace required. On top of that unified data layer, Strike48 deploys autonomous AI agents that run investigations, correlate and triage alerts, collect evidence, generate and validate detection rules, and hand work off to each other. A human-in-the-loop model ensures people approve critical actions like endpoint isolation and remediation, with full audit trails.