loopy-agent is a Python library that bundles eight essential AI agent concepts into one toolkit. It includes agentic loops, gateway, guardrails, evals, caching, observability, MCP support, and multi-agent orchestration. Designed for developers building advanced AI agents, it provides reusable components to accelerate development of reliable agentic systems.
loopy-agent is an AI & ML project. It focuses on implementing robust, observable, and production-ready AI agent systems without reinventing core infrastructure components. loopy-agent is an open-source project aimed at developers. loopy-agent is open source under the MIT license. It runs on the command line.
loopy-agent first shipped in 2026. The project is developed in the open on GitHub with 5 commits in the last 90 days. Among its 6 catalogued features are Agentic Loops, guardrails, and evals. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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