Graphiti
A framework for building temporal context graphs that give AI agents memory of how facts change.
Sources and review
Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.
Agents whose memory must reflect changing facts, such as customer or project state over time.
About Graphiti
Graphiti, from Zep, builds and queries temporal context graphs for AI agents. Unlike static knowledge graphs it tracks how facts change over time, keeps provenance to source data and supports prescribed and learned ontologies, integrating user interactions and structured and unstructured data incrementally. It works with graph databases including Neo4j, FalkorDB, Kuzu and Amazon Neptune; Zep offers a managed service built on it.
Graphiti is listed in this index written primarily in Python, with 32k stars on GitHub. Its latest recorded repository push was in November 2026; that is not an ASE editorial review date.
pip install graphiti-coreGraphiti and related category tools
Alternatives guide →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| Graphitithis listing | 32k | Python | Apache-2.0 | Costs not checked |
| Cognee | 33k | Python | Apache-2.0 | Costs not checked |
| byterover-cli | 4.9k | TypeScript | — | Costs not checked |
| GoogleMapsAPI.io | — | — | — | Paid product |
| Mistral Search Index | — | — | — | Pricing not verified; check storage, query, embedding and extraction charges |
| Vectoree | — | — | — | Freemium |
