Agentes de IA
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Management console for installing and monitoring AI agents and pipelines.
★ 1,8 mil estrelasMIT
Ver o guia →ReMe é um projeto de agentes de IA de código aberto de agentscope-ai (agentscope-ai/ReMe no GitHub). Tem 3.559 estrelas no GitHub e 305 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 6 de outubro de 2026.
A memory management kit for agents — remember me, refine me.
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.
Examples and integrations for Zep — the memory layer for AI agents.
LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall
M-flow is a bio-inspired cognitive memory engine for AI agents — a graph alternative to flat RAG
Memory-LanceDB-Pro gives OpenClaw agents hybrid search, smart extraction, and intelligent forgetting
Research-backed lifelong memory for LLM agents, text and multimodal.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.