memvid
A serverless, single-file memory layer for AI agents - replace complex RAG pipelines
zep es un proyecto de agentes de IA de código abierto de getzep (getzep/zep en GitHub). Tiene 4.951 estrellas en GitHub y 653 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Examples and integrations for Zep — the memory layer for AI agents.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
Working code, not just docs.
Zep wired into real stacks.
Reusable approaches to agent recall.
Graphiti-powered memory in action.
Matches the core ecosystem.
Official patterns, kept current.
Download the source and move into the project folder.
git clone https://github.com/getzep/zep.git
cd zepIsolate 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 zep # check README for the exact commandIt is an open-source project at getzep/zep with 653 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.
No — this repo holds examples and integrations. The memory engine (with Graphiti) lives in Zep's core repos.
Run an example that matches your stack — that's what the repo is for.
Clone the repo and follow the README quickstart — the docs at https://help.getzep.com walk through setup.
A serverless, single-file memory layer for AI agents - replace complex RAG pipelines
Persistent memory layer for AI agents, backed by Markdown and Milvus.
The open-source memory layer for autonomous agents — knowledge-graph memory that emulates human memory
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
Context layer so AI agents query your analytics databases accurately.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.