AgentScout / memory & RAG / Mem0
memory & RAGOpen source + cloudAdded Oct 14, 2026

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Mem0 is an open-source memory layer for AI agents that extracts facts from conversations in a single add-only pass, links entities across memories and retrieves them in later sessions, with an Apache-2.0 SDK and a managed platform.

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Good for: building AI agents, memory for agents

Use cases

About Mem0

Mem0 is listed in our memory & RAG category and is aimed at builders. Mem0 is an open-source memory layer for AI agents that extracts facts from conversations in a single add-only pass, links entities across memories and retrieves them in later sessions, with an Apache-2.0 SDK and a managed platform. Pricing, as the maker states it: Open source SDK (Apache-2.0); managed platform: Hobby free, Starter $19/mo, Pro $249/mo, Enterprise custom. Maturity: Mature. We last checked the official link on 2026-10-20.

What is Mem0?

Mem0 is a memory layer for AI agents. Its current algorithm uses single-pass, add-only extraction (one LLM call; memories accumulate and nothing is overwritten), treats agent-generated facts as first-class and links entities across memories for retrieval.

It is open source with a paid managed platform; Mem0 notes its published benchmarks reflect the managed platform, which includes optimizations not in the open-source SDK.

Sources: the official README and our directory listing, checked 2026-10-18. Official site: mem0.ai.

Who is Mem0 for?

Developers who want agents to remember users and facts across sessions.

Mem0 at a glance

  • Open source: Yes (Apache License 2.0)
  • GitHub: mem0ai/mem0 · 67,572 stars (as of Oct 21, 2026)

Key features

  • Add-only memory extraction
  • Agent-generated facts stored
  • Entity linking
  • Open-source SDK plus managed platform

Mem0 pricing

  • Hobby: Free
  • Starter: $19/mo
  • Pro: $249/mo
  • Enterprise: Custom

Source: official pricing page, checked Oct 18, 2026. Prices change; check the source before buying.

Mem0 FAQ

What is Mem0?

Mem0 is a memory layer for AI agents. Its current algorithm uses single-pass, add-only extraction (one LLM call; memories accumulate and nothing is overwritten), treats agent-generated facts as first-class and links entities across memories for retrieval.

Who is Mem0 for?

Developers who want agents to remember users and facts across sessions.

Is Mem0 free?

Yes. Mem0 has a free option (Hobby), according to its pricing page (checked Oct 18, 2026).

How much does Mem0 cost?

As of Oct 18, 2026, Mem0's official pricing page lists: Hobby: Free; Starter: $19/mo; Pro: $249/mo; Enterprise: Custom.

Is Mem0 open source?

Yes. Mem0 is released under the Apache License 2.0, according to its GitHub repository.

What are alternatives to Mem0?

Similar tools include Beacon, Hy-Memory, SimpleMem, Memgraph, projectmem and ktx.

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Mem0 alternatives

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