A seed agent: the smallest starting point from which an agent can grow.
There is no framework here. The entire frozen layer is seed.py —
a small loop that connects a language model to exactly one tool (exec, which
runs bash) and loads its system prompt from a file the agent itself owns and
may rewrite. Everything an agent normally gets from a framework — tools,
memory, skills, conventions — must instead be grown by the agent, session by
session, into its self/ directory.
Plant one
mkdir my-agent && cd my-agent uvx --from git+https://github.com/vivekhaldar/seed.git seed
First run copies seed.py and run_seed.sh into this directory (never
overwriting a file that already exists), germinates self/SELF.md, and
commits those files together in a fresh git repo here — the loop is part of
this individual's history, not only self/. Then it drops you into a REPL.
Start talking. Everything the agent wants to keep must be written into
self/ — sessions are ephemeral and nothing else survives.
Come back to the same agent with the local runner — no need to uvx again:
./run_seed.sh ./run_seed.sh -m gemini-2.5-pro
A verbatim transcript of every session is recorded to self/sessions/*.json
(updated after each turn). This is a flight recorder, not memory: the agent
never loads it at boot, but you can read it — and the agent may grow tools to
study its own past.
One seed, many individuals: each directory you plant in grows a different agent, diverging based on what it experiences.
Configuration
Models and keys are handled entirely by llm
(Simon Willison's library). The default model is openai-codex/gpt-5.6-sol,
which uses the ChatGPT login from the Codex CLI:
codex login # one-time, per machine ./run_seed.sh # uses openai-codex/gpt-5.6-sol ./run_seed.sh -m gemini-2.5-pro # or override it for one session
Bundled providers: OpenAI via a Codex subscription or API key, Anthropic, Gemini, and OpenRouter (one OpenRouter key unlocks hundreds of models).
Design
Why it's shaped this way — McCarthy's metacircular eval, homoiconicity, the prior art, and the risks we consciously accepted: docs/DESIGN.md.