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Comparison

graphiti vs langgraph

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 langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with.

Markdown twin · graphiti alternatives · langgraph alternatives

GraphCanon updated 3d

graphiti logo

graphiti

getzep/graphiti

★ 30kpushed Aug 17, 2026
vs
langgraph logo

langgraph

langchain-ai/langgraph

★ 38kpushed Jul 28, 2026

Trust & integrity

Signalgraphitilanggraph
Maintenance
Very active (0d since push)
As of 3d · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of 3w · 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
graphiti trust reportlanggraph trust reportTrust methodology

Tagline

graphiti
Build Real-Time Knowledge Graphs for AI Agents
langgraph
Low-level orchestration framework for building stateful agents.

Stars

graphiti
30k
langgraph
38k

Forks

graphiti
3.0k
langgraph
6.5k

Open issues

graphiti
488
langgraph
647

Language

graphiti
Python
langgraph
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
langgraph
LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities.

Persona

graphiti
-
langgraph
-

Runtime

graphiti
-
langgraph
-

License

graphiti
Apache-2.0
langgraph
MIT

Last pushed

graphiti
Aug 17, 2026
langgraph
Jul 28, 2026

Categories

graphiti
AI Agents, LLM Frameworks
langgraph
AI Agents, Developer Tools

Trust and health

Open issues (now)

graphiti
488
langgraph
647

Stars delta

graphiti
+1.1k (30d)
langgraph
Unknown

Open issues delta

graphiti
+45 (30d)
langgraph
Unknown

Full report

graphiti
Trust report
langgraph
Trust report

Shared compatibility

  • Python · graphiti: Python runtime · langgraph: Python runtime

Choose graphiti if…

  • License: graphiti is Apache-2.0, langgraph is MIT.
  • 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.
GitHubDetails

Choose langgraph if…

  • License: langgraph is MIT, graphiti is Apache-2.0.
  • Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-.
  • Requirements: Min 4 GB RAM; Requires Python environment.
  • Tags unique to langgraph: ai-agents, enterprise, framework, langchain.
  • Also covers Developer Tools.
  • When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.

When NOT to use langgraph

  • LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents.
  • For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.
GitHubDetails

Explore

graphiti trust report →langgraph trust report →AI Agents category →LLM Frameworks category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: graphiti 30k · langgraph 38k (synced Aug 18, 2026).

Common questions

What is the difference between graphiti and langgraph?
graphiti: Build Real-Time Knowledge Graphs for AI Agents. langgraph: Low-level orchestration framework for building stateful agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose graphiti over langgraph?
Choose graphiti over langgraph when License: graphiti is Apache-2.0, langgraph is MIT; 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 langgraph over graphiti?
Choose langgraph over graphiti when License: langgraph is MIT, graphiti is Apache-2.0; Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Tags unique to langgraph: ai-agents, enterprise, framework, langchain; Also covers Developer Tools; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.
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 langgraph?
LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.
Is graphiti or langgraph more popular on GitHub?
langgraph has more GitHub stars (38,352 vs 30,018). Stars measure visibility, not whether either tool fits your constraints.
Are graphiti and langgraph open source?
Yes - both are open-source projects on GitHub (graphiti: Apache-2.0, langgraph: MIT).
Where can I find alternatives to graphiti or langgraph?
GraphCanon lists graph-backed alternatives at graphiti alternatives and langgraph alternatives (graphiti markdown twin, langgraph 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 langgraph?
graphiti: Very active. langgraph: 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 langgraph?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphiti trust report; langgraph trust report.

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