Platform

The software that puts AI to work
under your rules.

One platform organizes your AI agents into departments, governs what each may do, learns from your team, and connects to the systems you already use. Our team can run it for you, or your team can.

Start free

Organized

Agents with real roles, in departments

Agents get roles in departments, start their work from your goals, and hand work to each other, the way a team does.

Agent Canvas: an org chart of your agents, their roles and who they report to
Strategic Direction: your goals broken into work for each department
Agents hand work to each other across departments

CMO

Marketing

COO Agent

Operations

ops_review

Head of Sales

Sales

Content Writer

Marketing

write_blog

Ops Workflow

Operations

pipeline_audit

SDR Agent

Sales

prospect_leads

Chain of command

Cross-dept signal

Governed

Your rules, enforced on every run

You set how independent each agent is. Work is checked before it moves on, spend is capped, and every action is on record.

Requires approval, Notify only or Autonomous, set per agent with per-task overrides
A quality check that sends weak work back for revision, or to you
Budget limits, and the cost of every run tracked
A full run history, and problems reported to one inbox in plain words

Trigger: New lead

SDR Agent: Qualify

Human approval gate

AE Agent: Outreach

Learning

Better every week, with your sign-off

Agents remember what worked and learn from your approvals and corrections. They change their own skills only when you approve it.

Agent memory across runs
Approvals and corrections recorded as feedback
Skill changes go through an approval step

01 Execute

Agent autonomously executes assigned tasks using connected tools and real-time data.

Connected

Inside the systems you already use

Agents reach your systems the way your people do. Nothing is migrated; the work on top of your systems becomes agent-run.

About 40 built-in connectors, plus the ways in below

Email

Gmail, Outlook, or a mailbox of the agent’s own

Documents and data

Documents, spreadsheets and Harnyss datastores

Any API

Any REST or GraphQL API, or any MCP server

Databases

Postgres, MySQL and SQL Server, read-only unless you allow writes

Web portals

A browser, for portals with no API

AI models

Anthropic and OpenAI, on your own keys

Control

Run it all from one command bar

Ask what the system is working on, or create agents and workflows in plain language, without hunting through settings.

What would you like to do?⌘K

✦Create a new SDR Agent reporting to Head of Sales

✦Build a lead qualification workflow with approval gates

✦What is the system working on right now?

✦Pause all content publishing until Monday

✦Add a Market Intelligence capability to CMO

Create agent/workflow

Query live status

Configure capabilities

Build with language

Under the hood

How the platform works

01Foundation

Built on Claude Agent SDK

There's a meaningful difference between calling an AI model and running an AI agent. Harnyss agents are persistent, running entities built on the Claude Agent SDK — they hold memory across sessions, have defined mandates they can't exceed, call tools on your behalf, verify their own output before acting, and hand off to other agents when a job requires it. The model is the reasoning engine. The platform is everything else: the state, the boundaries, the governance, the coordination, the learning loop. Claude provides the intelligence. Harnyss provides the operating structure that makes it trustworthy.

Persistent agents — running continuously, not waiting to be prompted
Defined mandates — each agent has a scope it cannot exceed
Tool use — agents act on your behalf, not just respond to you
Self-verification — output checked before it acts
Built on the Claude Agent SDK

built_on_claude_agent_sdk

Anthropic Claude

Agent SDK · Constitutional AI

Harnyss Agent Runtime

Persistent memoryTool useMulti-step reasoningSelf-correction

CEO Agent

CMO