Harness
Harness AI SRE is a human aware change agent with an AI Scribe that captures Slack, Teams and Zoom signals and correlates them with system changes across the Harness DevOps platform.
Harness AI SRE is the incident response module of the Harness AI Software Delivery Platform.
Two agents work together during an incident: the AI Scribe listens across Slack, Teams and Zoom to capture decisions, actions and timelines, and the RCA Change Agent, also called the Human-Aware Change Agent, reads that timeline and correlates it with change intelligence from the Software Delivery Knowledge Graph, deployments, pull requests, feature flags, configuration and infrastructure, to surface evidence-backed root cause hypotheses with confidence scores.
One-click automation runbooks chain remediation actions such as rolling back, scaling out, toggling a feature flag, posting to Slack or opening a Jira ticket. Harness AI SRE relies on external tools such as Datadog and New Relic for observability telemetry rather than collecting its own. Harness has more than 1,000 customers.
Vendor details
Canonical URL
https://www.harness.io
Category
SRE / DevOps agent
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Monitoring (Datadog, New Relic, Splunk, Dynatrace, Grafana, Opsgenie), CI/CD (GitHub, GitLab, Jenkins, Harness Pipelines), ITSM (ServiceNow, Jira, PagerDuty, VictorOps), collaboration (Slack, Teams, Zoom, Confluence).
Sources & related URLs
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
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Broad connectors across monitoring (Datadog, New Relic, Splunk, Dynatrace, Grafana, Opsgenie), CI/CD (GitHub, GitLab, Jenkins, Harness Pipelines), ITSM (ServiceNow, Jira, PagerDuty, VictorOps) and collaboration (Slack, Teams, Zoom, Confluence), Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Workflow Orchestration | Full |
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Two agents work together, the AI Scribe capturing the incident narrative and the RCA Change Agent driving change-centric investigation, with one-click automation runbooks chaining remediation actions, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Knowledge Grounding & RAG | Full |
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Correlates human signals from conversations with change intelligence across the Software Delivery Knowledge Graph, deployments, pull requests, feature flags, configuration and infrastructure, to surface evidence-backed hypotheses, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Human Oversight & Guardrails | Full |
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Human-aware by design, treating human insight as operational data; investigation surfaces confidence-scored hypotheses and remediation runs through one-click human-triggered runbooks, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Security, Identity & Governance | Partial |
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SourceAn established enterprise platform with typical governance controls, but specific AI SRE certifications are not enumerated in retrieved sources and Microsoft Teams transcription relies on third-party services (Recall.ai and AssemblyAI) with their own data handling, Harness AI SRE; harness.io/products/ai-sreread 2026-07-22 |
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| Observability & Auditability | Partial |
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Strong incident auditability through Scribe records, timelines and an SRE dashboard covering MTTR, SLO breaches and uptime, but no built-in observability telemetry, relying on external tools such as Datadog and New Relic for logs, metrics and traces, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Memory & State Persistence | Partial |
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Maintains authoritative incident records and timelines and references change history; no distinct persistent memory architecture named, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Deployment & Data Residency | Partial |
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Delivered within the Harness SaaS platform, which offers self-managed deployment, though AI SRE data residency specifics are not documented in retrieved sources, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Ships prebuilt agents (AI Scribe and the RCA Change Agent) and a library of one-click automation runbooks for rollback, scaling and feature-flag toggles, though not an extensive agent marketplace, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Triggers & Channel Coverage | Full |
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Ingests alerts via webhook from monitoring tools, routes and escalates with built-in on-call schedules, and the Scribe listens across Slack, Teams and Zoom during incidents, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Model Flexibility & Routing | Unable to verify |
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No customer facing model choice or routing documented, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| APIs, SDKs & MCP Extensibility | Partial |
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Integrates via webhooks and native connectors and can trigger Harness pipelines, but a first-class API, SDK or MCP surface for the AI SRE agent is not documented in retrieved sources, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Testing, Debugging & Optimization | Unable to verify |
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No agent evaluation or testing tooling is documented for the AI SRE module, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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| Browser & Computer Use | Unable to verify |
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Operates through integrations, webhooks and runbooks rather than browser or computer interface control, Harness AI SRE 2026-07-22 Sourceharness.io/products/ai-sreread 2026-07-22 |
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The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify 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
Recent platform changes
Harness released an Agent-Ready Code Repository and AI Code Review system built to handle the increased volume of code produced by AI agents. The review layer evaluates agent-generated pull requests to identify potential risks and provides context-aware feedback for human reviewers.
Bears on: Security / enterprise
View sourceHarness launched a suite of AI-driven security agents designed to handle vulnerability response across the software lifecycle. The release includes AI SAST, agentic triage and remediation, a dedicated Zero-Day Agent, and virtual patching capabilities.
Bears on: Security / enterprise
View sourceHarness published its July 2026 product update, encompassing 71 new features including the Agent Development Lifecycle (DLC) and CLI 3.0. The update introduces a dedicated permission system for Worker Agents and integrates the full AI agent lifecycle into the core Harness platform.
Bears on: Agent capability
View sourcePricing
Priced within the Harness platform; contact sales
What is public
AI SRE is priced within the broader Harness platform; no standalone public list price.
Variable cost rationale
Priced as part of a broader Harness platform commitment rather than a standalone list price.
Sales call required
Yes, required for paid access
Free / trial
Free trial (platform)
Key ambiguities
No standalone AI SRE list price; cost depends on the overall Harness platform commitment.
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Alternatives to Harness
The closest documented capability profiles to Harness 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.
- Anyshift8.5 / 14Adds documented Testing, Debugging & Optimization
- Ciroos AI8.0 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- Kura7.0 / 14A lighter documented profile than Harness
- Parity7.0 / 14A lighter documented profile than Harness
- SRE.ai8.0 / 14Adds documented Testing, Debugging & OptimizationHarness vs SRE.ai →
- Better Stack8.5 / 14Fuller documented coverage on Observability & Auditability and APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded