memvid
A serverless, single-file memory layer for AI agents - replace complex RAG pipelines
Examples and integrations for Zep — the memory layer for AI agents.
zep is an open-source ai agents project by getzep (getzep/zep on GitHub). It has 4,951 GitHub stars and 653 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
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.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if zep is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Free and open — grab the source, star the repo, and start creating.