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

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

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

Certifiedagents ready to use

Minutesfrom file to live, governed agent

0new runtimes to operate

6built-in safety controls

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. Use Harness AI to generate it if you'd rather not write it.

Ready

Building internal automation tooling takes entire engineering sprints

Harness Managed Agents available across the lifecycle including: Code Review, Autofix, Feature Flag Cleanup, and more. Adopt one, fork it, or build your own.

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: unrestricted, restricted to allowed MCP servers, or fully disabled.

Scoped Credentials. Harness mints an ephemeral token scoped to the intersection of the agent's permissions and the triggering user's RBAC. An agent triggered by a junior developer cannot exceed that developer's access.

OPA Policy Enforcement. Evaluated at three points: when the template is saved, when the pipeline starts, and when the agent attempts a governed action. Block agents from non-approved models or keep Community agents out of production pipelines.

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

Learn more

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. Any team can build, fork, and publish agents — governance is structural, not added on top.

Model Independent (BYOM). Connect Anthropic or OpenAI, or any OpenAI-compatible endpoint. Switch models per agent, per step, or set account defaults — without rewriting agent logic.

MCP & Custom Tools. Agents can call any MCP server (Git, Jira, Slack) or custom tool you register. Extend agents with your own integrations.

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, enable, and use them with one toggle.

Learn more

Agent Marketplace

Harness-built agents, ready to deploy

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

Autofix

Reads CI logs from a failed PR build, identifies the root cause, commits a fix to the PR branch, re-triggers CI, and repeats until the build passes or the configured max-turns limit is reached.

CIby Harness

Code Coverage

Reads coverage reports, identifies untested lines, branches, and functions, and generates tests to close gaps.

Code Qualityby Harness

Code Review

Reviews PR diffs across security, quality, and test coverage. Outputs structured findings with severity ratings and concrete remediation. Grounded in the Harness Knowledge Graph — knows which services are production-critical and which historical anti-patterns have caused outages.

Code Qualityby Harness

Feature Flag Cleanup

Reads code, config, and flag-system state to identify flags that are fully rolled out or fully off. Validates removal is safe. Generates a cleanup PR.

Feature Flagsby Harness

IaCM Remediation

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

Infrastructureby Harness

Manifest Remediation

Analyzes failed Kubernetes deployments. Identifies whether the issue is the manifest, the cluster, or the workload. Fixes manifest issues.

Deployby Harness

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

Govern AI automation at scale

Build, govern, and deploy reasoning agents

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

Govern AI automation at scale

Build, govern, and deploy reasoning agents

Governed AI agents
for your pipeline