Philosophy

Most AI software development has the same shape: a coding agent outside the software reads a repository, reconstructs what it is for, changes it, and leaves. The software never knows what happened to it. Every session starts from archaeology.

Seed inverts this. The builder is part of the software. A Seed is the smallest application that knows how to become a larger application:

Design rules

  1. Capability to create, not the capability itself. For anything we were tempted to put in the initial Seed, we asked: does the Seed need this, or only the ability to create it? The kernel holds only what it takes to grow safely: an agent loop, primitive tools, a sandbox, git, memory, skills and a control plane. Everything else is grown.
  2. Continuity of identity. After ten evolutions, a Seed should know what it is, why it exists, what it can do, which decisions shaped it, which skills it has learned, and how it reached its current generation. That knowledge lives in readable files committed with each generation, not in a vector store.
  3. No fake intelligence. There are no templates per application type, and no if prompt contains "todo". A todo app is produced by the same general mechanism as anything else.
  4. Ordinary software. The organism is plain Go, React and PostgreSQL that a human can read and take over. Seed is an evolutionary runtime around software, not a new language.
  5. Boring infrastructure. Go, PostgreSQL, Git, a container and bubblewrap, with no agent framework, queue or vector DB. A Seed is one self-contained folder. The Seed must be able to understand its own implementation.
  6. Safety by construction. Self-modifying software needs strong trust boundaries. Every change happens in isolation, is independently verified, is a git commit, and can be rolled back. The kernel is protected from the organism it grows.

What it is not

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