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SPECIFICTION
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Graphiti vs Haystack

Graphiti

github.com

Haystack

haystack.deepset.ai

Side by side

FigureGraphitiHaystack
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source——
APIYesYes
Self-hostedYesYes
Plans published12
Spec score · Retrieval-Augmented Generation Tools8.5 (#7)8.2 (#10)
DeploymentThe maker’s Graphiti page describes the framework as runnable locally and distinguishes it from Zep’s managed commercial platform.Pipelines can be served as REST APIs or MCP servers with Hayhooks and run on your own infrastructure.
What it doesGraphiti is an open-source framework for building and querying temporal context graphs for AI agents.Haystack is an open-source AI orchestration framework for building production-ready AI agents, multimodal applications, and advanced RAG systems.

Plans

Graphiti

  • Graphiti (open-source)Free

Graphiti pricing →

Haystack

  • Haystack Open Source FrameworkFree
  • Haystack Enterprise PlatformPriced on request

Haystack pricing →

In their own words

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.

Visit github.com

Haystack

Haystack is an open-source AI orchestration framework for developers building agents, multimodal applications, advanced retrieval-augmented generation systems and scalable search. Applications are assembled as modular pipelines from components such as retrievers, routers, memory layers, tools, evaluators and generators. Pipelines can run on users’ own infrastructure and be served as REST APIs or MCP servers with Hayhooks. The integrations directory lists 189 options across model providers, vector databases, monitoring tools and community components, including OpenAI, Anthropic, Amazon Bedrock, Elasticsearch, Pinecone and Datadog. A separate Enterprise Platform adds a visual pipeline builder, debugging, templates, indexing, a playground, prompt exploration, deployment and monitoring tools. It can run in managed cloud or self-hosted infrastructure and exposes a REST API. Listed enterprise security and compliance provisions include SOC 2 Type II, ISO 27001, GDPR, HIPAA, CSA Star Level 1, RBAC, audit logs, traces, guardrails and SSO. A free platform trial is available by form request and includes cloud infrastructure for prototypes.

Visit haystack.deepset.ai