agentloops is an open-source Python package that adds an intelligence layer to AI agents, enabling self-learning loops, memory, and rule-based improvements. It integrates with frameworks like LangChain and supports MCP, targeting developers building advanced AI agents.
agentloops sits in PulseGate's Frameworks & runtimes category. It focuses on enabling AI agents to learn and improve autonomously through self-learning loops. It is built as an open-source project for AI agent developers. agentloops is open source under the MIT license. agentloops is available on the web, the command line, and API, and it can be self-hosted.
Behind agentloops is mhollweck, and it first shipped in 2026. The GitHub repository has been archived. Among its 5 catalogued features are self-learning loops, agent memory, and rule-based logic. It exposes integrations via a public API and an MCP server.
Summary written by a language model from the project’s public pages.
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