AI Agents
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Management console for installing and monitoring AI agents and pipelines.
★ 1.8k starsMIT
View guide →A memory management kit for agents — remember me, refine me.
ReMe is an open-source ai agents project by agentscope-ai (agentscope-ai/ReMe on GitHub). It has 3,559 GitHub stars and 305 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 6 October 2026.
Choose one concrete task — narrow beats ambitious for a first run.
Fetch the source and skim the docs folder.
Set the environment variables or keys the project needs.
Execute the example workflow and watch what happens.
Building blocks for agent recall.
Extensions into OpenClaw, QwenPaw, and more.
First-class in the AgentScope world.
Designed to integrate beyond AgentScope.
Fits the agent-building mainstream.
Commercial-friendly licensing.
Download the source and move into the project folder.
git clone https://github.com/agentscope-ai/ReMe.git
cd ReMeIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m reme # check README for the exact commandIt is an open-source project at agentscope-ai/ReMe with 305 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
It's a memory management kit — primitives for remembering and refining, not just storage. Plugins extend it into agent ecosystems.
It's AgentScope-native but framework-friendly by design; check the docs for integration patterns.
Clone the repo and follow the README quickstart — the docs at https://reme.agentscope.io/ walk through setup.
Management console for installing and monitoring AI agents and pipelines.
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Free and open — grab the source, star the repo, and start creating.