What are the best alternatives to Kubiya?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Kubiya among SRE and DevOps agents are Doctor Droid, Fabrix.ai, NudgeBee, Edge Delta. Each is graded on the same public evidence, and no vendor pays for placement.

Does Kubiya support MCP and tool calling?

Full under the Agentic Index verification standard. Kubiya publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: The Control Plane API (REST, with an OpenAPI spec) covers agents, teams, executions, jobs, policies, models and the context graph, beside a Python SDK, a CLI and a Terraform provider. The Kubiya MCP server (@kubiya/control-plane-mcp-server,. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Kubiya have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Kubiya publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Kubiya offers RBAC, ABAC, SSO, social login and an audit trail, along with policy as code, mTLS and OAuth2. A SOC2 mark appears in the Composer page's security section, but no report type, report or trust page is published. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Kubiya be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Kubiya publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: The Control Plane can be self-hosted on the customer's own infrastructure, on local machines, cloud VMs (AWS, GCP, Azure), Kubernetes clusters or bare metal, with workers executing in the customer's environment. Running AI Teammates in the. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Kubiya

Q: Who is Kubiya for?

platform engineering teams, DevOps teams, enterprise, SRE teams

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SRE / DevOps agentindependentVerified 2026-09-29

Entry priceStartup from $15,000 a year ($1,250 a month). SMB from $72,000 a year. Enterprise on request.Full pricing detail

Agentic engineering platform for DevOps and platform teams that runs agents and teams of agents on a self hostable control plane, with a context graph, cognitive memory, OPA policies, scheduled and webhook jobs, and an API, SDK and MCP server.

Kubiya is an agentic engineering platform for DevOps and platform teams. Customers define agents and teams of agents on the Kubiya Control Plane, give them skills and connectors (AWS, GitHub, Jira, Slack, Kubernetes and OAuth integrations to 40+ services) and run tasks from the web interface, Slack, the CLI or the API, or on schedules and webhooks as background jobs. A Context Graph ingests the customer's cloud, code and cluster estate on a continuous or scheduled sync, and Cognitive Memory lets agents and users store learnings scoped per user, organization or role.

Governance runs through OPA policies attached to environments, teams and agents, with RBAC, ABAC and SSO, and each task records its tool calls, logs and artifacts. The control plane can be self hosted on cloud VMs, Kubernetes or bare metal, workers run in the customer's environment, and model calls can route through the customer's own providers. Terraform modules ship default Deployer and Monitor agents, and the platform is extensible through a Control Plane API, a Python SDK, a CLI, a Terraform provider and an MCP server.

Vendor details

Canonical URL

https://www.kubiya.ai

Company status

independent

Use cases & customers

Primary use cases

natural-language DevOps automationenvironment provisioningCI/CD and Terraform operationsself-service ops with governance

Target customers

platform engineering teamsDevOps teamsenterpriseSRE teams

Deployment options

managed SaaSself-hosted control planeworkers in customer environment

Integrations

Connectors for AWS, GitHub, Jira, Slack and Kubernetes plus OAuth integrations to 40+ services. Tasks run from the web interface, Slack, CLI, API, schedules and webhooks.

In practice

A platform team schedules a Background Job in which an agent checks its Kubernetes clusters each night against the Context Graph of AWS and GitHub resources, with every tool invocation and its status kept for audit.

A release pipeline in Jenkins calls a Kubiya webhook so the Deployer agent rolls out a change, while an OPA policy limits deployments to business hours and asks for confirmation before sensitive actions.

A regulated company self hosts the Control Plane on its own Kubernetes cluster and sends model calls through its own Azure OpenAI or local Ollama models instead of the default gateway.

Sources & related URLs

Research sources

https://www.kubiya.ai https://github.com/agamm/awesome-ai-sre

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool Calling	Full
Connectors let agents act on outside systems by creating resources, modifying configurations, sending messages and executing workflows, across AWS, GitHub, Jira, Slack, Kubernetes and OAuth integrations to 40+ services, with custom integrations in the Control Plane API. Sourcedocs.kubiya.ai/infrastructure/integrationsread 2026-09-29
Workflow Orchestration	Full
Teams are a coordination layer over multiple agents that share context, tools, credentials and guardrails, and a task aimed at a team coordinates its member agents through the workflow. The Control Plane API adds plan generation, plan execution and workflow endpoints. Sourcedocs.kubiya.ai/core-concepts/teamsread 2026-09-29
Knowledge Grounding & RAG	Full
The Context Graph ingests the customer's AWS, GitHub, GitLab, Azure, GCP, Kubernetes and custom sources on a continuous, hourly, daily or cron sync, persists the entities and relationships, and exposes graph, semantic and intelligent search to agents. Sourcedocs.kubiya.ai/web-interface/context-graph/data-ingestionread 2026-09-29
Human Oversight & Guardrails	Partial
OPA policies attached to environments, teams or agents constrain what agents may run, such as business hours windows and required labels, and a starter policy, described in a single line, asks for explicit confirmation or security signals before sensitive actions. A task can also wait in a Requires Input state. Apart from request, grant and deny access endpoints in the API reference, there is no approval step before an action commits. Sourcedocs.kubiya.ai/core-concepts/policiesread 2026-09-29
Security, Identity & Governance	Full
Kubiya offers RBAC, ABAC, SSO, social login and an audit trail, along with policy as code, mTLS and OAuth2. A SOC2 mark appears in the Composer page's security section, but no report type, report or trust page is published. Sourcekubiya.ai/pricingread 2026-09-29
Observability & Auditability	Full
Each task records its agent, runtime and execution ID, along with live agent reasoning and actions, each tool invocation with its status, and full logs and artifacts. That history is kept for audit, and the API exposes traces and spans per execution. Sourcedocs.kubiya.ai/core-concepts/task-kanbanread 2026-09-29
Memory & State Persistence	Partial
Cognitive Memory is a store that agents write to with store_memory and users add to through Compose, scoped per user, organization or role (organization by default). Kubiya states no lifetime, retention or delete path for it. Sourcedocs.kubiya.ai/core-concepts/cognitive-memory/overviewread 2026-09-29
Deployment & Data Residency	Full
The Control Plane can be self-hosted on the customer's own infrastructure, on local machines, cloud VMs (AWS, GCP, Azure), Kubernetes clusters or bare metal, with workers executing in the customer's environment. Running AI Teammates in the customer's cluster and local runners are listed plan features. Sourcedocs.kubiya.ai/cli/control-plane-self-hostingread 2026-09-29
Prebuilt Agents, Templates & Packs	Full
Default agents ship in pre-built Terraform modules for a customer to adopt and customize, a Deployer for production deployment and a Monitor for monitoring and alerting, plus a default DevOps team. Sourcedocs.kubiya.ai/terraform/modulesread 2026-09-29
Triggers & Channel Coverage	Full
Background Jobs run automatically on a set schedule, from presets or a custom cron expression, or when an external system such as Jenkins, GitHub or an internal app calls their webhook. Sourcedocs.kubiya.ai/core-concepts/background-jobsread 2026-09-29
Model Flexibility & Routing	Full
Workers can send model calls through the customer's own providers instead of the default Control Plane gateway, over LiteLLM's 100+ providers (AWS Bedrock, Azure OpenAI, Vertex AI, OpenAI, Anthropic, Mistral, or local Ollama and vLLM), and Bring Your Own Model is a listed plan feature. Sourcedocs.kubiya.ai/cli/custom-llm-gatewayread 2026-09-29
APIs, SDKs & MCP Extensibility	Full
The Control Plane API (REST, with an OpenAPI spec) covers agents, teams, executions, jobs, policies, models and the context graph, beside a Python SDK, a CLI and a Terraform provider. The Kubiya MCP server (@kubiya/control-plane-mcp-server, API key auth) exposes create, read, update and delete tools over agents, teams, jobs, policies and workflows. Sourcedocs.kubiya.ai/mcp/overviewread 2026-09-29
Testing, Debugging & Optimization	Partial
Policies are validated through the CLI before deployment, and the API validates policy, runtime and skill configuration, which confirms that a change is well formed but does not test how the agent behaves. Analytics report usage and cost, and there is no evaluation harness, scored tests or improvement loop over agent behavior. Sourcedocs.kubiya.ai/core-concepts/policies-use-casesread 2026-09-29
Browser & Computer Use	Not documented
Agents act through connectors, skills (shell, Docker, Python, file system) and sandboxed execution, and do not control a browser, desktop or computer. Sourcedocs.kubiya.ai/infrastructure/integrationsread 2026-09-29

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Startup from $15,000 a year ($1,250 a month). SMB from $72,000 a year. Enterprise on request.

Annual plan by tier, sized by AI Teammate profiles, advanced and fast model token allowances, concurrent tasks, integrated accounts, local runners, scheduled tasks and webhooks.

What is public

Startup and SMB starting prices per year are public, with their allowances (profiles, advanced and fast model tokens, concurrent tasks, integrated accounts, local runners, scheduled tasks, webhooks). Enterprise is on request.

Variable cost rationale

Each annual tier is a fixed price that carries fixed model token allowances, 500K advanced and 2M fast tokens on Startup and 1M and 5M on SMB, along with limits on concurrent tasks, local runners and webhooks. Agent work draws those token allowances down, and the larger allowances come with the next tier up. No overage or top up terms are published, so what happens when an allowance runs out is not stated.

Overage / add-ons

Not published

Sales call required

Mixed (some tiers require a call)

Free / trial

None published

Lowest paid plan

Startup, from $15,000 a year ($1,250 a month)

Support SLA / resale

Enterprise includes dedicated support.

Agentic Index verified 2026-09-29

Official pricing page

Related vendors

Alternatives to Kubiya

The closest documented capability profiles to Kubiya among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Doctor Droid11.5 / 14Fuller documented coverage on Human Oversight & Guardrails
Fabrix.ai12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Testing, Debugging & Optimization
NudgeBee11.5 / 14Fuller documented coverage on Human Oversight & Guardrails
Edge Delta12.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Memory & State Persistence
Hyground12.0 / 14Adds documented Browser & Computer Use
Komodor13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Memory & State Persistence

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Kubiya with other vendors →Compare all SRE and DevOps agents →See where Kubiya ranks →

Data confidence: medium

Head to head

Kubiya vs RunWhen