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Hyper

Agenticness22/36·Domain Specialist

Autonomous engineering system that plans, builds, tests, and opens PRs

Hyper is a cloud-based autonomous software engineering platform for turning product objectives into tested code in your GitHub repositories. It plans work, runs parallel agent sessions in isolated lanes, verifies results server-side, and can open pull requests or deploy supported projects.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric → Last re-evaluated 12 September 2026.

See pricing ↓

Desktop
Code Execution
Integrations
B2B
MCP Support
Semi-Autonomous
Fully Autonomous
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Recent activity

What's happened with Hyper lately

  • Score change
    Agenticness score 20 → 22 ↑20 → 22/36(+2)

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Hyper is an autonomous software engineering platform aimed at founders and teams that need to move from an idea or product objective to production-ready software. Rather than positioning itself as a single coding chatbot or prototype builder, it...

What to Know

Hyper is meaningfully agentic: it can execute multi-step engineering work, coordinate specialist agents in parallel isolated worktrees, run scheduled server-side missions, and deploy to platforms it detects, including Vercel, Cloudflare, Fly,...

Key Features
Creates an execution plan from a natural-language objective and waits for approval before building
Writes code, runs tests, verifies results server-side, and opens standard GitHub pull requests
Coordinates parallel specialist agents in isolated branches with a verifier gate before merge
Runs multiple independent implementation attempts and selects a winning approach
Provides semantic code search, symbol awareness, and type-error context across a repository
Use Cases
Turn a founder's product brief into a planned, implemented, tested GitHub pull request while retaining approval over the plan and budget.
Assign a complex feature to parallel implementation agents, compare independent approaches, and keep the verified result.
Run a nightly scheduled test sweep against a repository and stop automatically when a defined spending cap is reached.
Agenticness: Domain Specialist

Handles domain-specific workflows independently with dynamic replanning.

High evidence
Last evaluated: Sep 12, 2026

Dimension Breakdown

Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty
How agenticness works →

Categories

Coding Agents
Pricing
  • Free: No card required; Hyper says you can ship your first pull request free.
  • Usage-based: Plans include an upfront cost estimate, live spend tracking, and hard budget caps. Detailed paid rates were not included in the crawled content.
Details
asiflow.ai
AddedSeptember 12, 2026
RefreshedSeptember 12, 2026
Agenticness
Domain Specialist
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceNo
MCP supportYes
Team supportSmall team
Pricing modelUsage-based
Interfacegui, cli, voice, api
Sources
Last updated September 12, 2026
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When Hyper changes its pricing, we catch it the next morning

We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.

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