AIエージェント
hindsight
Agent memory that learns — so your agents get smarter over time.
★ 47.0k スターMIT
ガイドを見る →graphitiは、getzepが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: getzep/graphiti）。GitHubスターは31,541、フォークは3,240で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月7日です。
Real-time knowledge graphs that give agents a memory with structure.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Ingests events into a living knowledge graph.
Tracks how facts and relationships change.
Knows when two mentions are the same thing.
Pairs structured recall with retrieval pipelines.
Integrates into Python agent stacks.
The engine behind a production memory layer.
Download the source and move into the project folder.
git clone https://github.com/getzep/graphiti.git
cd graphitiIsolate 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 graphiti # check README for the exact commandIt is an open-source project at getzep/graphiti with 3240 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.
Vector DBs retrieve similar text; Graphiti builds a temporal knowledge graph — entities, relationships, and how they change.
Graphiti is the graph engine behind Zep's memory layer; they're sibling projects from the same team.
Clone the repo and follow the README quickstart — the docs at https://help.getzep.com/graphiti walk through setup.
Agent memory that learns — so your agents get smarter over time.
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