Comparison
graphiti vs PageIndex
Verdict
Pick graphiti if graphiti is a Python-based toolkit for building real-time knowledge graphs utilized by AI agents, supporting Neo4j, FalkorDB, Amazon Neptune, and Kuzu as database options along with OpenAI, Anthropic, Groq, and Gemini LМ; pick PageIndex if pageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and.
Markdown twin · graphiti alternatives · PageIndex alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | graphiti | PageIndex |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- graphiti
- Build Real-Time Knowledge Graphs for AI Agents
- PageIndex
- Document Index for Vectorless, Reasoning-based RAG
Stars
- graphiti
- 30k
- PageIndex
- 35k
Forks
- graphiti
- 3.0k
- PageIndex
- 3.1k
Open issues
- graphiti
- 488
- PageIndex
- 157
Language
- graphiti
- Python
- PageIndex
- Python
Adopt for
- graphiti
- Graphiti is a Python-based toolkit for building real-time knowledge graphs utilized by AI agents, supporting Neo4j, FalkorDB, Amazon Neptune, and Kuzu as database options along with OpenAI, Anthropic, Groq, and Gemini LМ
- PageIndex
- PageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and context are key.
Persona
- graphiti
- -
- PageIndex
- -
Runtime
- graphiti
- -
- PageIndex
- -
License
- graphiti
- Apache-2.0
- PageIndex
- MIT
Last pushed
- graphiti
- Aug 17, 2026
- PageIndex
- Aug 14, 2026
Categories
- graphiti
- AI Agents, LLM Frameworks
- PageIndex
- AI Agents, Data & Retrieval
Trust and health
Days since push
- graphiti
- 0d
- PageIndex
- 1d
Open issues (now)
- graphiti
- 488
- PageIndex
- 157
Open issues delta
- graphiti
- +45 (30d)
- PageIndex
- +18 (30d)
Full report
- graphiti
- Trust report
- PageIndex
- Trust report
Typed relationship
graphiti alternative PageIndexPageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data.
Choose graphiti if…
- License: graphiti is Apache-2.0, PageIndex is MIT.
- PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data.
- Tags unique to graphiti: amazon-neptune, falkordb, graph, llms.
- Also covers LLM Frameworks.
- graphiti ships Docker support for self-hosted deployment.
- If you require seamless integration with LLM services that support structured output like OpenAI, Anthropic, or Google Gemini.
When NOT to use graphiti
- Consider alternative tools if your project primarily uses non-compliant LLM providers without structured output support.
- If you prefer not to use Python or do not need the capability to build real-time knowledge graphs for AI applications.
Choose PageIndex if…
- License: PageIndex is MIT, graphiti is Apache-2.0.
- PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data.
- Tags unique to PageIndex: agentic-ai, context-engineering, information-retrieval, llm.
- Also covers Data & Retrieval.
- When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
When NOT to use PageIndex
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies.
- When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (getzep/graphiti) · observed Aug 18, 2026
- GitHub forks (getzep/graphiti) · observed Aug 18, 2026
- Last push (getzep/graphiti) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VectifyAI/PageIndex) · observed Aug 16, 2026
- GitHub forks (VectifyAI/PageIndex) · observed Aug 16, 2026
- Last push (VectifyAI/PageIndex) · observed Aug 14, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: graphiti 30k · PageIndex 35k (synced Aug 18, 2026).
Common questions
- What is the difference between graphiti and PageIndex?
- graphiti: Build Real-Time Knowledge Graphs for AI Agents. PageIndex: Document Index for Vectorless, Reasoning-based RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphiti over PageIndex?
- Choose graphiti over PageIndex when License: graphiti is Apache-2.0, PageIndex is MIT; PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data; Tags unique to graphiti: amazon-neptune, falkordb, graph, llms; Also covers LLM Frameworks; graphiti ships Docker support for self-hosted deployment; If you require seamless integration with LLM services that support structured output like OpenAI, Anthropic, or Google Gemini.
- When should I choose PageIndex over graphiti?
- Choose PageIndex over graphiti when License: PageIndex is MIT, graphiti is Apache-2.0; PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data; Tags unique to PageIndex: agentic-ai, context-engineering, information-retrieval, llm; Also covers Data & Retrieval; When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
- When should I avoid graphiti?
- Consider alternative tools if your project primarily uses non-compliant LLM providers without structured output support. If you prefer not to use Python or do not need the capability to build real-time knowledge graphs for AI applications.
- When should I avoid PageIndex?
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies. When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
- Is graphiti or PageIndex more popular on GitHub?
- PageIndex has more GitHub stars (35,204 vs 30,018). Stars measure visibility, not whether either tool fits your constraints.
- Are graphiti and PageIndex open source?
- Yes - both are open-source projects on GitHub (graphiti: Apache-2.0, PageIndex: MIT).
- Where can I find alternatives to graphiti or PageIndex?
- GraphCanon lists graph-backed alternatives at graphiti alternatives and PageIndex alternatives (graphiti markdown twin, PageIndex markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, graphiti or PageIndex?
- graphiti: Very active. PageIndex: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for graphiti and PageIndex?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphiti trust report; PageIndex trust report.