AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
A typed capability-authoring framework for Python — write tools that validate input, do their work, and return a structured result.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
ZeoCore is a Python framework for writing capabilities: small, typed,
named units of work that anything can call.
You write a function once — giving it an identity, a typed request and
response, a declaration of its side effects, and a structured result — and
that same function can then be run by a script, served over HTTP, exposed to
an MCP-native coding agent like Claude Code or Cursor, or handed to an LLM as
a callable tool. You don't rewrite it for each destination.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
ZeoCore is a Python framework for writing capabilities: small, typed,
named units of work that anything can call.
You write a function once — giving it an identity, a typed request and
response, a declaration of its side effects, and a structured result — and
that same function can then be run by a script, served over HTTP, exposed to
an MCP-native coding agent like Claude Code or Cursor, or handed to an LLM as
a callable tool. You don't rewrite it for each destination.README 전문 보기 ↗