Developer decision Enterprise evaluation

Graphiti vs Supermemory

Side-by-side comparison of Graphiti and Supermemory across fit, pricing, docs, evidence gaps, and benchmarks.

Decision brief

Best overall

Graphiti

Best combined signal across API availability, docs, adoption, reviews, and ecosystem proof.

Best OSS/self-hosted

Graphiti

Start here when local control, inspectability, or self-hosting matters.

Best managed/production

Graphiti

Strongest shortlist signal for API availability, docs, and operational maturity.

Decision notes

Adoption proof: No verified adoption proof yet

Reviews: No developer reviews yet

Repo stars: Graphiti

Check before choosing

Graphiti has no developer reviews yet.Graphiti has no public adoption proof yet.Supermemory has no developer reviews yet.Supermemory has no public adoption proof yet.

Evidence links

Graphiti docs Graphiti repo Supermemory docs Supermemory repo

Missing evidence and weekly return

Graphiti: verified adoptionGraphiti: benchmark dataSupermemory: verified adoptionSupermemory: benchmark data

Save this comparison to watch rank movement, new alternatives, docs changes, examples, and benchmark updates.

Next stepBuild packet and draft write-up

Turn this Graphiti vs Supermemory decision into something you can build from.

Most developers reading a head-to-head are picking what to ship this week. Take the Graphiti vs Supermemory decision into a build packet with the setup steps for whichever one you choose, and draft a short write-up of how it went so the next person deciding this has something concrete to read.

Comparing Graphiti vs Supermemory

Graphiti docs Graphiti GitHub Supermemory docs Supermemory GitHub

Build packet Draft proof page

Feature Comparison

Graphiti

RAG Frameworks

Pricing: Open source
Open source: Yes
API: Available
Rating: No reviews
GitHub: 28,243 stars
Adoption: Public evidence pending
Benchmark: No benchmark data
Best for: Temporal knowledge graph memory layer for AI agents that need evolving user, entity, and r
Tradeoff: More control and inspectability, but more setup and operational ownership.

Supermemory

RAG Frameworks

Pricing: Freemium
Open source: Yes
API: Available
Rating: No reviews
GitHub: 27,624 stars
Adoption: Public evidence pending
Benchmark: No benchmark data
Best for: Memory and context API for adding long-term recall, RAG, and user profiles to AI agents.
Tradeoff: More control and inspectability, but more setup and operational ownership.

Feature	Graphiti	Supermemory
Category	RAG Frameworks	RAG Frameworks
Pricing	Open source	Freemium
Open source
API available
Rating	No reviews	No reviews
GitHub stars	28,243	27,624
Adoption	Public evidence pending	Public evidence pending
Benchmark	No benchmark data	No benchmark data
Best for	Temporal knowledge graph memory layer for AI agents that need evolving user, entity, and r	Memory and context API for adding long-term recall, RAG, and user profiles to AI agents.
Developer tradeoff	More control and inspectability, but more setup and operational ownership.	More control and inspectability, but more setup and operational ownership.

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Feature

Graphiti

Supermemory