selvedge.sh · DevHunt · PyPI · GitHub
Persistent decision memory for AI agents.
Save why you chose an approach, what you rejected, and what would change your mind. Retrieve that context in the next coding session, using a function, database column, API route or dependency as the lookup key.
Selvedge is for anyone using a compatible agent. Connect through local MCP
over stdio, or use the CLI from an agent with shell access. Decisions stay in
the same SQLite store in .selvedge/ when you switch tools.
No hosted account is required; core storage and retrieval make no LLM calls.
uv tool install --upgrade selvedge
selvedge demoRequires uv and Python. Python 3.11–3.14 is recommended; Python 3.10 remains compatible but is end of life. The demo uses a temporary database. Follow the quickstart to connect your agent to a real project.
Use selvedge demo --mcp to save through a local stdio MCP server, restart it
and retrieve the same record. Add --json for the checked IDs and versions.
This tests the Python installation running Selvedge with disposable data;
your agent's configuration, activation and hooks still need a separate check.
