Harmony vs Harness²: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Harmony and Harness² — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Harmony

Paid

AI-native ITSM and ESM platform whose agents resolve IT and HR requests autonomously inside Slack, Microsoft Teams and Zoom.

AI Service Desk Agent: Answers and autonomously resolves employee IT and HR requests directly inside Slack and Microsoft Teams, with Harmony claiming up to 90% of requests handled automatically.
100+ Out-of-the-Box Agents: Production-ready agents for password resets, application access requests, IdP group assignment, device recovery, onboarding and offboarding, customized to your tools and policies.
Proactive Signal-Triggered Agents: Agents watch real-time signals to detect issues such as low device storage, overdue restarts, printer faults, expiring SSL/TLS certificates and EDR misconfigurations before users are affected.
Generative Knowledge Base: Continuously learns from tickets, user interactions and organizational context to generate and update knowledge articles and recommend them during ticket creation.
System of Record and Asset Management: Maintains a real-time, automated inventory of hardware, software and licenses, including license-expiration discovery for renewal planning.
No-Code AI Agent Builder: Lets teams build custom agents for their own workflows without writing code.
Multi-Desk ESM: Runs IT, HR, Finance, Legal, Security and Facilities service desks on one agentic platform with built-in approvals, governance and compliance controls.

Replacing a Legacy ITSM: Migrating from tools like Jira Service Management to an AI-first service desk that resolves most requests without human agents.
Self-Service Password and Access Requests: Letting employees reset passwords or request application access in Slack or Teams with identity verification and automatic provisioning.
Employee Onboarding and Offboarding: Orchestrating account provisioning, software setup, access cleanup and asset recovery end to end.
Proactive Endpoint Health: Detecting device storage, uptime and EDR policy issues and prompting users to act before tickets are filed.
Scaling Lean IT Teams: Enabling a small IT team to support hundreds of employees by cutting first-response times from hours to seconds.
HR Service Delivery: Answering policy questions and handling HR requests through the same conversational agents.

Google Research

Free

Google Research's open-source framework for recursive agent harnessing that refines an agent's prompts, tools and memory per task.

Task-Level Recursion: A contrastive Propose-Probe-Compose step proposes edits, probes their effects on the same task and composes a refined harness without ground-truth feedback.
Harnessing-Level Recursion: A persistent improvement harness is updated with adopted harnesses and evidence-supported lessons from each task.
Eight Editable Components: Exposes system prompt, guardrails, memory, tool guidance, subagents, skills, scripts and plugins as tunable parts.
Parallel and Sequential Modes: Scale the task-level recursion budget by exploring candidates in parallel or refining sequentially.
Multiple Executors: Run refinement with OpenCode and Codex executors.
Built-In Benchmarks: Setup and run commands for JobBench, LAB (legal work) and WorkBuddy Bench (office, web and code).
Credential-Free Demo: A local demo with deterministic editors runs both recursion modes without model credentials.

Agent Harness Research: Study how contrastive harness edits affect agent performance across benchmarks.
Improving Base Agents: Raise results of models such as GLM 5 and Gemini 3.5 Flash over their default harnesses.
Professional Task Evaluation: Evaluate agents on legal, office and coding tasks using bundled benchmark guides.
Tuning Coding Agents: Refine system prompts, skills and subagents for OpenCode or Codex executors.
Reproducible Experiments: Run, judge and report benchmark experiments with resume support.