ZHangZHengEric / Sage

An RSI Agent Harness for running, evaluating, and evolving agents—with tools, skills, MCP, stateful execution, and multi-agent workflows.

Why this job: works in the areas we cover, but does not say which job it does

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What it does

Desktop RSI currently supports simple types and native tools; general MCP integration does not imply support in RSI bindings.
Built-in configurations target one process or host; Server supports one worker. Local execution is not container isolation.
Callers curate history into goals or suites. The default workflow uses fixed dev and expanding train; dev guides development and independent test measurements are observation-only.
RSI produces candidates without activating them. Persistent state does not provide distributed job takeover or automatic checkpoint resume.
Agent package. Define what an agent can do.

python -m pip install -e '.[server]'
cp .env.example app/v2/server/.env

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