>_ contextgraph.dev

Stop juggling terminals. Start running a team.

You're working on:
├──Auth refactorAgent working...
├──PR #423 reviewReady for you
├──API paginationAgent working...
└──Caching spikeAgent working...
You're 4x right now.

Queue up work, run agents in parallel, review as they complete. Go from 8 points a week to 22.

3x your output without 3x the hours. Your Linear velocity. Your GitHub activity. Your PRs merged. All multiplied.

However you measure output, you'll have more of it.

You've seen the screenshots. Seven terminal windows. Claude Code in one. Cursor in another. Codex spinning up a third. The dev juggling all of them, manually orchestrating, holding the whole graph in their head.

That's impressive. It's also exhausting. And it doesn't scale.

You're not a dev anymore. You're managing a team of agents. You need an ops layer.

Who's it for?

Run Everything at Once

Queue up your work. Agents run in parallel. You went from doing one thing to doing five things.

Use Any Agent

Claude Code, Cursor, Codex, Devin—doesn't matter. They're the hands. You're the brain. We're the ops layer in between.

Review, don't write

Your job isn't writing code anymore. It's reviewing agent output and unblocking the next task. That's a different (and better) job.

How It Works

1

Chaos → Structure

Connect Linear, paste a Slack thread, drop a voice note. We synthesize scattered intent into a precise, hierarchical plan.

2

Plan → Parallel Execution

Your plan flows to execution agents with full codebase context. Work happens in parallel. You review PRs instead of writing code.

Why ContextGraph?

We're not competing with your favorite coding agent. We're making it 10x more effective.

Execution agents are optimized for DOING, not for understanding WHAT to do. They excel at writing code, but they need clarity first.
They work serially—one task at a time. We orchestrate parallel execution across multiple agents, multiplying your throughput.
They know your codebase superficially (what's in the context window). We know it structurally—dependencies, architecture, and how the pieces fit together.
The better execution agents get, the more valuable we become. As agents get faster at coding, the bottleneck shifts to plan quality. That's our layer.

ContextGraph is the interpreter layer between your ideas and your execution agents—we're the leverage point.

The Architecture

Intent Sources

Linear
GitHub Issues
JIRA
Notion
Voice / Chat
ContextGraph
The Interpreter Layer

Execution Agents

Claude Code
Cursor
Devin
Codegen
Your agent here

From Chaos to Clarity

I had eight different plans scattered across chat windows—strategic vision mixed with implementation details, high-level goals tangled with function signatures. No way to synthesize them. No way to know what to build first.

The problem wasn't generating plans. It was turning chaos into coherence. That transformation is what we built.

Get early access

Queue up your first tasks. Watch them run in parallel.

Get early access