Cognee vs RAGFlow

Cognee is free, with no paid plan attached. RAGFlow is free, with no paid plan attached. Both are listed under Agent Memory & RAG-as-a-Service, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

Cognee vs RAGFlow — straight answers

Cognee vs RAGFlow: what is the difference?

Cognee is free, with no paid plan attached and is listed for open-source memory platform that turns data into a knowledge graph plus vectors for agents. RAGFlow is free, with no paid plan attached and is listed for open-source RAG engine with deep document parsing and agent workflows. Both sit in Agent Memory & RAG-as-a-Service.

Is Cognee or RAGFlow cheaper to start with?

Neither — Cognee and RAGFlow are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, Cognee or RAGFlow?

Choose Cognee if you need open-source memory platform that turns data into a knowledge graph plus vectors for agents; choose RAGFlow if you need open-source RAG engine with deep document parsing and agent workflows. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

Cognee compared with RAGFlow: pricing tier, category, listed capabilities and links.
 CogneeRAGFlow
Pricing tierFreeFree
Free to startYesYes
CategoryAI Agents & AutomationAI Agents & Automation
TypeAgent Memory & RAG-as-a-ServiceAgent Memory & RAG-as-a-Service
Listed capabilities
  • Open-source memory platform that turns data into a knowledge graph plus vectors for agents
  • Python API with pluggable graph, vector and relational stores
  • Self-host free; cloud option exists
  • Open-source RAG engine with deep document parsing and agent workflows
  • Grounded citations and template-based chunking
  • Self-host with Docker; bring your own LLM
Tagscognee, ai agent memory open source, knowledge graph memory, graph rag memory layerragflow, open source rag engine, deep document understanding rag, self hosted rag
Websitecognee.airagflow.io
Full pageCognee details →RAGFlow details →
AlternativesCognee alternatives →RAGFlow alternatives →

MemOS

Agent Memory & RAG-as-a-Service
free
  • Memory operating system for LLM agents with hybrid retrieval and persistent memory
  • Open source and self-hostable, with a cloud option
  • Built for multi-agent and personal assistants
  • Backed by MemTensor, a Shanghai team

Basic Memory

Agent Memory & RAG-as-a-Service
free
  • MCP server that stores AI conversation memory as local Markdown notes
  • Works with Claude Desktop and other MCP clients, and is readable in Obsidian
  • Everything stays on your disk
  • Open source core is free; optional paid cloud sync

Graphiti

Agent Memory & RAG-as-a-Service
free
  • Framework for building real-time temporal knowledge graphs for AI agents
  • Powers Zep's memory layer; runs standalone
  • Open source, works with Neo4j and other graph DBs

LightRAG

Agent Memory & RAG-as-a-Service
free
  • Simple, fast graph-based RAG from HKU Data Science lab (EMNLP 2025)
  • Combines knowledge-graph and vector retrieval
  • Works with local or hosted LLMs

Memvid

Agent Memory & RAG-as-a-Service
free
  • Packs agent memory into a single portable file with no server or database
  • Offline retrieval with no cloud dependency
  • Open source with SDKs
  • Aimed at replacing complex RAG pipelines

Letta

Agent Memory & RAG-as-a-Service
freemium
  • Free BYOK plan supporting up to 3 stateful agents
  • Stateful-agent runtime with persistent memory, desktop app, CLI and API
  • Open-source framework (formerly MemGPT) plus a managed cloud