Graphiti
Temporal knowledge graphs for agent context that changes over time.
Where it stands.
A documented choice when entity relationships and historical facts matter. Its graph-database and structured-output dependencies make it a more involved integration than a simple memory API.
A desk review of published evidence. We have not benchmarked or audited this software.
Behind the verdict.
Adoption signals
Database and model-provider integrations are documented. No independent deployment-volume claim is made.
Developer experience
Python quickstarts and graph ingestion/query APIs. Database setup and model behavior require additional debugging.
Maintenance
Public release notes were reviewed. Database compatibility and migrations should be checked for the selected version.
Compatibility & access
Python with supported graph stores and LLM/embedding services. Apache 2.0 library; graph database and provider terms remain separate.
What to watch for.
- Models without reliable structured output can cause ingestion failures.
- Operate a supported graph database and validate temporal retrieval on your workload.
These are documented constraints or editorial implications of the architecture, not an exhaustive defect list.
Follow the evidence.
01Graph model, requirements & license
Describes temporal graphs, supported stores, provider requirements and structured-output warnings.
github.comRelease history
Public package releases and compatibility changes.
github.comExplore alongside.
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