Cognee vs MemOS

Cognee is free, with no paid plan attached. MemOS 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 MemOS — straight answers

Cognee vs MemOS: 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. MemOS is free, with no paid plan attached and is listed for memory operating system for LLM agents with hybrid retrieval and persistent memory. Both sit in Agent Memory & RAG-as-a-Service.

Is Cognee or MemOS cheaper to start with?

Neither — Cognee and MemOS 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 MemOS?

Choose Cognee if you need open-source memory platform that turns data into a knowledge graph plus vectors for agents; choose MemOS if you need memory operating system for LLM agents with hybrid retrieval and persistent memory. 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 MemOS: pricing tier, category, listed capabilities and links.
 CogneeMemOS
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
  • 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
Tagscognee, ai agent memory open source, knowledge graph memory, graph rag memory layermemos memory os, agent memory, llm long term memory, open source memory for agents, memtensor memos
Websitecognee.aimemos.openmem.net
Full pageCognee details →MemOS details →
AlternativesCognee alternatives →MemOS alternatives →

Also worth comparing

All Agent Memory & RAG-as-a-Service →

Basic Memory

Agent Memory & RAG-as-a-Service
freeNew
  • 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
Visit

Graphiti

Agent Memory & RAG-as-a-Service
freeNew
  • 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
Visit

LightRAG

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

Memvid

Agent Memory & RAG-as-a-Service
freeNew
  • 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
Visit

RAGFlow

Agent Memory & RAG-as-a-Service
freeNew
  • 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
Visit

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
Visit