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SPECIFICTION
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Dify vs Graphiti

Dify

dify.ai

Graphiti

github.com

Side by side

FigureDifyGraphiti
Price from$49.17/moFree
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published111
Spec score · Retrieval-Augmented Generation Tools9.4 (#1)8.5 (#7)
LicenseDify uses a modified Apache 2.0 license with restrictions on unauthorized multi-tenant operation and removing frontend branding or copyright notices.The GitHub repository identifies the project as Apache-2.0 licensed.
PurposeDify is an open-source platform for building AI applications with agentic workflows, RAG pipelines, model management, observability, and tools.Graphiti is an open-source framework for building and querying temporal context graphs for AI agents.
RetrievalKnowledge Pipeline supports semantic, keyword, hybrid, and reranked retrieval with metadata filters and citations.Hybrid retrieval combines semantic embeddings, BM25 keyword search, and graph traversal.
What it doesDify is an LLM application platform combining visual workflows, RAG pipelines, agents, model and tool support, publishing, and monitoring.Graphiti is an open-source framework for building and querying temporal context graphs for AI agents.

Plans

Dify

  • CommunityFree
  • CommunityFree
  • SandboxFree
  • SandboxFree
  • Professional$59 a month
  • Team$159 a month
  • Professional$590 a year
  • Professional$590 a year
  • Team$1,590 a year
  • Team$1,590 a year

Dify pricing →

Graphiti

  • Graphiti (open-source)Free

Graphiti pricing →

In their own words

Dify

Dify is an open-source platform for building AI applications with agentic workflows, retrieval pipelines, model management, observability, and tools. Workflow Studio provides a visual canvas for model calls, knowledge retrieval, tools, code, branching, triggers, and human review. Workflows can start from user input, API calls, schedules, webhooks, plugin events, or uploaded payloads. Knowledge Pipeline turns files, online documents, drives, crawlers, and web content into searchable knowledge bases with metadata and citations. Retrieval supports semantic, keyword, hybrid, and reranked methods with metadata filters. Applications can be published as hosted web apps, website embeds, API endpoints, or MCP servers. Dify connects to providers including OpenAI, Anthropic, Google Gemini, and xAI, while its Marketplace lists more than 200 tools. Community Edition is self-hostable with Docker; Enterprise can run in a customer VPC, on-premises, or an air-gapped network. Sandbox and Community are free. Professional costs $590 a year per workspace; Team costs $1,590 a year per workspace.

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Graphiti

Graphiti is an open-source framework for building and querying temporal context graphs for AI agents. It records validity periods for facts, allowing applications to ask what is true now or what was true at a previous point in time. New structured and unstructured information is integrated incrementally rather than requiring a complete graph rebuild. Derived entities and relationships remain linked to their source episodes for provenance. Retrieval combines semantic search, keyword search, and graph traversal, with result reranking. Developers can define entity and edge types with Pydantic models or let structure emerge from incoming data. Supported graph backends listed by the project are Neo4j, FalkorDB, and Amazon Neptune; Kuzu is deprecated. Graphiti includes FastAPI REST and MCP services, supports several LLM providers, runs locally, and is self-hosted. It requires Python 3.10 or newer and an LLM API key. The Apache-2.0 framework is free.

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