Welcome to Hyperstruck Docs
Hyperstruck is a learning and reasoning engine for AI agents. It plans, executes, reflects, and learns from every task. Use it as a standalone agent platform, integrate it with LangGraph, OpenAI Agents SDK, or CrewAI, or work directly from Claude Code and Cursor.
Recommended reading order
Start with Quickstart, then read Reasoning and Learning before diving into the API and integration pages.
Concepts
Quickstart
The fastest first-success flow: create an agent, dispatch a goal, and store a learning.
Reasoning engine
How Hyperstruck plans, executes, reflects, and revises to deliver higher quality outcomes.
Learning
What a learning is, how it makes your agents better over time, and what it is not.
APIs
Agents API
Create agents, dispatch goals, monitor runs, and resume suspended work.
Learnings API
Store, search, retrieve, and reinforce operational knowledge.
Plans API
Search prior workflows and review candidate learnings for reuse.
Credentials API
Bring your own LLM provider credentials with tenant defaults and agent overrides.
Usage API
Inspect tenant and per-agent usage, costs, learning activity, and run history.
Integrations
Framework integrations
Use Hyperstruck with LangGraph, OpenAI Agents SDK, or CrewAI.
Claude Code and Cursor
Use Hyperstruck directly from your IDE with built-in skills.
Platform
Access control (FGA and RBAC)
Scopes, organization roles, spaces, API key permissions, and the full permissions matrix.
Security and data isolation
Tenant isolation, encrypted credentials, PII masking, and access controls.
Who this is for
- Technical buyers evaluating whether Hyperstruck is more than a prompt wrapper
- Engineers looking for clean API entry points into reasoning and learning
- Teams that want to integrate Hyperstruck into existing agent frameworks or IDE workflows