AI Agents
hindsight
Agent memory that learns — so your agents get smarter over time.
★ 47.0k starsMIT
View guide →Real-time knowledge graphs that give agents a memory with structure.
graphiti is an open-source ai agents project by getzep (getzep/graphiti on GitHub). It has 31,541 GitHub stars and 3,240 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 7 October 2026.
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.
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Free and open — grab the source, star the repo, and start creating.