The AI Platform

Intelligence,
connected.

A modular platform where AI agents think, act, and collaborate — connected by a living knowledge graph that grows with every interaction.

01

Not another chatbot.
A cognitive architecture.

H3 treats AI agents as first-class entities in a connected system. Every conversation, every tool call, every decision flows through a hypergraph that gets smarter over time.

Hypergraph Memory

Every entity — repos, tickets, conversations, people — lives as a node. Every relationship is an edge. The graph grows organically as agents work, building a living map of your organization.

Real-Time Collaboration

Humans and AI agents work side by side. Operators guide, approve, and steer. Agents execute, report, and learn. The boundary between human and machine dissolves into productive flow.

Autonomous Execution

Agents don’t wait for instructions. They interpret goals, select tools, handle errors, and produce results. With middleware and approval flows, you stay in control without being the bottleneck.

02

Agents that think,
then act.

H3 agents aren’t chat completions wrapped in an API. They’re autonomous workers with access to tools, middleware, and approval workflows. They can spawn sub-agents, browse the web, execute code, and chain complex multi-step tasks.

  • Tool access GitHub, Slack, Linear, browsers, shells — agents use the same tools you do
  • Middleware stack Rate limiting, permissions, approval gates, audit logging — built into every action
  • Agent spawning Agents create sub-agents for specialized tasks, then synthesize results
  • Human-in-the-loop Operators can observe, guide, approve, or override at any point
agent execution
$ h3 agent run --task "Review PR #142"
[agent] Received task: Review PR #142
[agent] Loading tools: github, code_review
[agent] Reading PR diff... done
[agent] Analyzing 847 lines across 12 files...
[agent] Spawning sub-agent: security_reviewer
[agent] 3 findings identified:
warn SQL injection risk src/db/queries.ts:47
info Missing error boundary src/components/Form.tsx:92
info Unused import src/utils/helpers.ts:3
[agent] Requesting approval to post review...
[operator] Approved
[agent] Review posted. Task complete.
03

Everything connected.
Nothing lost.

The hypergraph is H3’s memory. Every entity — repos, tickets, conversations, people — lives as a node. Every relationship is an edge. Agents don’t just answer questions — they navigate a living map of your organization’s knowledge.

Repositories People Tickets Conversations Pull Requests
04

Your tools,
unified.

H3 connects to the tools you already use through a typed SDK with middleware, rate limiting, and approval flows built in. Not a shallow webhook — deep, bidirectional integration.

GitHub
Slack
Linear
Sentry
PagerDuty
Jira
Confluence
24+
More tools
TypeScript integration.ts
import { H3 } from '@h3/sdk';

const h3 = new H3({
  integrations: ['github', 'slack', 'linear'],
  middleware: [
    rateLimiter({ maxPerMinute: 60 }),
    approvalGate({ actions: ['write', 'delete'] }),
    auditLog({ destination: 's3://logs' }),
  ]
});

// Agents inherit integration access + middleware
const agent = h3.createAgent({
  name: 'pr-reviewer',
  tools: ['github.pulls', 'github.reviews'],
  model: 'claude-opus-4-6',
});
05

Chain agents.
Ship workflows.

Pipelines turn agent capabilities into repeatable production workflows. Define stages, connect them with typed inputs and outputs, add routing logic, and let agents handle the rest.

Research

Analyze market, competitors, and audience

Brief

Generate copy, design direction, and specs

Build

Agent writes code, generates assets, assembles

QA

Automated testing, visual review, accessibility

Deploy

Push to production, verify, notify stakeholders

This site was built by an H3 pipeline — from brief to deployment, orchestrated by agents.