Clear task flow
Superplan turns open ended agent work into visible task progress that teams can understand and trust.
About Superplan
About Superplan
Superplan is an open source execution system that gives AI agents clear task structure, durable repo context, and dependable progress from planning to completion.
Durable context
Work stays close to the repo so important decisions, progress, and proof remain easy to revisit.
Reliable completion
Superplan helps agents move from idea to verified result with less drift and fewer missed steps.
Why Superplan exists
AI agents are powerful, but raw prompting often creates drift. Work becomes hard to follow, context disappears, and important steps can get skipped when a session grows long or a model changes.
Superplan brings order to that problem. It gives each task a clear shape, keeps context close to the repo, and makes it easier to see what is ready, what is blocked, and what still needs proof.
Who it is for
Superplan is built for teams and individuals who use AI agents for real software work inside real repos.
What it protects
It reduces context loss, repeated work, and hidden execution risk when agents hand work off or resume later.
What Superplan helps teams do
Plan with intent
Teams can shape work before execution so the goal, scope, and proof path are clear from the start.
Execute with structure
Agents move through bounded tasks instead of wandering across the repo without visibility.
Preserve progress
Long sessions, model switches, and handoffs stay manageable because the work remains legible.
Review with confidence
Teams get clearer evidence, better checkpoints, and a more disciplined path to done.
The ideas behind the product
Structure before speed
Superplan aims to make fast agent work safer by giving execution a clear path instead of relying on memory alone.
Context that lasts
The product is designed so important work survives long sessions, interruptions, and model changes.
Proof before claims
Superplan pushes work toward review and verification so progress is based on evidence, not assumptions.
Tools that fit the repo
It works with the codebase, the workflow, and the team instead of asking everyone to adopt a separate system.
A practical open source approach
Superplan is built as open source software with a focus on real development work. It is meant to be useful for day to day software delivery, not just demos or prompt experiments.
The goal is simple. Help AI agents behave more like reliable teammates by making task flow, context, and completion more explicit.
Start with structure
Visit the homepage to explore the install flow, the product overview, and the core execution model.