Context for Intelligence
Grounded in your delivery context
The Software Delivery Knowledge Graph maps pipeline history, deployment topology, security findings, and cost signals across your environment. Every module feeds the graph. Every agent reads from it.
Knowledge Graph
The semantic connections between SDLC concepts that streamlines queries and understanding.
Rules
Define your software delivery standards so AI can automatically generate and enforce consistent pipelines, infrastructure, and tests across every project.
Personalized Memory
Context built from organizational and individual history with Harness, helping tailor Harness AI to your needs.
Expert agents plan.
Domain-specific agents for DevOps, SRE, and Security that understand your repos, infrastructure, policies, and incident history.
Explore the agent marketplaceExpert Agents
Worker agents act
Specialized agents that run builds, trigger tests, manage rollbacks, and scale environments.
Explore Worker AgentsWorker Agents
Agents act. You draw the boundaries.
Every action an agent takes runs inside your perimeter, against your policies, on a record you can hand to an auditor.
Where it runs
Agent actions execute inside your VPC or cluster through the Harness Delegate. Secrets stay put while instructions cross the boundary.
What it may do
Inside that boundary, OPA policy, RBAC, approvals, and change windows govern agent actions exactly as they govern human ones. One policy engine, one golden path.
What it actually did
Every action inside is attributed, logged, and signed. The evidence comes back out as scorecards and audit trails your auditors can pull on demand. Rollback is automatic when a change fails verification.
You set autonomy per task, per environment, per team
Same identity, same policy, same enforcement, same evidence underneath all three.
Insights & Analytics
Ask your delivery data anything
Instead of waiting for a BI team to build a dashboard, ask Harness AI directly and get answers in seconds, powered by the Knowledge Graph.
Chat with your data.
Ask questions like "Which stage adds the most delay in our release flow?" and get instant answers.
Harness and 3rd party data unified.
Gain a single view of deployments, incidents, and reliability metrics pulled from across your entire toolchain.
DORA metrics & engineering efficiency.
Measure and benchmark developer productivity with DORA metrics, custom KPIs, and AI-surfaced recommendations.
Governance built in
Policy checks, RBAC, audit trails, and secrets management are built into every module. Define once. Enforce everywhere.
Policy-as-Code (OPA)
OPA-based guardrails govern what AI and humans can do across every pipeline and deployment.
Granular RBAC
Controls what AI and humans can do across every module, environment, and resource. Scoped to teams, projects, or individual pipelines.
Secret management
Integrates with HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault. Secrets resolve at runtime, never hardcoded.
Audit trail
Track every deployment, approval, and policy change with immutable logs for compliance and forensics.
The platform for platform engineers
The platform that meets engineers where they are, empowering developers across the organization, making it easy to deliver software.
Golden Paths
Ensuring consistency across teams and projects at any scale by defining and reusing flexible, versioned templates for pipelines.
Purpose-Built AI Agents
Leverage Harness AI agents or build your own AI agents to automate repetitive operational tasks.
Tailored Interfaces
Generate pipelines using AI, fine tune them using the visual editor, and apply bulk updates using APIs or MCP.
