Governed AI agents
for your pipeline.

The AI agents that you can actually run in production

Autofix

Reads build logs, identifies the root cause of a build failure, commits a fix to the PR branch, and re-triggers builds until it passes.

Agent

Code Review

Reviews PR diffs across security, quality, and test coverage.

Agent

Code Coverage

Identifies untested lines and generates tests to close coverage gaps.

Agent

Feature Flag Cleanup

Detects stale flags and validates safe removals.

Agent

Manifest Remediator

Analyzes failed Kubernetes deployments and fixes manifest issues.

Agent

IaCM Remediation

Fixes configuration drift, security findings, and cloud cost issues by editing infrastructure configurations.

Agent

AI Designed for Enterprise Flexibility

Three things that make Autonomous Worker Agents different.

Safe

AI tools that run outside your pipeline have no guardrails — and no accountability

Agents inherit the controls already governing human deployments: sandboxing, scoped credentials, OPA policies, and audit trails.

Simple

Writing and maintaining scripts for every pipeline task takes time teams don't have

One file. Commit it and the agent is live, governed, and available across your organization.

Ready

Building internal automation tooling takes entire engineering sprints

Harness Managed Agents available across the lifecycle: Code Review, Autofix, Feature Flag Cleanup, and more.

Create an agent. Add it to any pipeline.

Three steps: create, configure, run. Your agent is live and governed in minutes.

Every agent action is governed

Governance is structural, not optional. Every agent inherits the OPA policies, RBAC, and audit trails already protecting your production pipelines — because it runs inside them.

Sandboxing: Containerized, non-root execution. Read-only filesystem except the workspace. Network access configurable per agent.

Scoped Credentials: Harness mints an ephemeral token scoped to the intersection of the agent's permissions and the triggering user's RBAC.

OPA Policy Enforcement: Evaluated at three points: when the template is saved, when the pipeline starts, and when the agent attempts a governed action.

Audit Trail: Every execution captured with full provenance: who triggered the agent, template version, every action taken, final outcome.

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A pipeline step that thinks

Worker Agents analyze what is happening inside your delivery lifecycle. They ingest logs, code changes, and environment states, reason through complex software delivery problems, and execute real-world solutions directly inside your existing workflows.

Triggered by Events CI failures, PR opens, schedules, or AI Chat. Runs automatically without human initiation.

Governed by Default Inherits OPA policies, RBAC, and audit trails from your Harness pipelines. Nothing to rebuild.

Grounded in Context Reasons using the Harness Knowledge Graph: services, pipelines, deployments, and incidents.

Built in Minutes Defined in one Markdown file. Commit it; the agent is live, governed, and in your catalog.

Build once. Share across every pipeline.

Fork a Harness system agent, wire in your model and tools, and publish it to your org's Agent Marketplace. Every team can discover and enable it — governed from day one.

Model Independent (BYOM): Connect Anthropic or OpenAI, or any OpenAI-compatible endpoint. Switch models per agent, per step, or set account defaults.

MCP & Custom Tools Agents can call any MCP server (Git, Jira, Slack) or custom tool you register.

Agent as Code: Every agent is a YAML template in source control. Forkable, versioned, and PR-reviewable like the rest of your pipeline config.

Org Marketplace: Publish internal agents to your organization's Agent Marketplace so every team can discover and enable them with one toggle.

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Agent Marketplace

Harness-built agents, ready to deploy

Enable any agent with one toggle. All governed, all auditable, all running inside your Harness pipelines.

Enterprise OPA gate: Platform teams control which tiers are permitted to run in production pipelines — define and enforce agent trust policy as code.

Governed AI agents
for your pipeline.

AI Designed for Enterprise Flexibility

Create an agent. Add it to any pipeline.

Every agent action is governed

A pipeline step that thinks

Build once. Share across every pipeline.

Harness-built agents, ready to deploy

Autonomous Worker Agents work for everyone in your org

Build, govern, and deploy reasoning agents

Engineering

Excellence 2026

Governed AI agentsfor your pipeline.

AI Designed for Enterprise Flexibility

Create an agent. Add it to any pipeline.

Every agent action is governed

A pipeline step that thinks

Build once. Share across every pipeline.

Harness-built agents, ready to deploy

Autonomous Worker Agents work for everyone in your org

Build, govern, and deploy reasoning agents

the State of

Engineering

Excellence 2026

Governed AI agents
for your pipeline.