These tools competes with

Mem0vsEverOS

Universal persistent memory layer for AI agents versus Local-first, markdown-native memory runtime for agents

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Choose Mem0 when…

  • •You want your AI agent to remember users and preferences across sessions
  • •You need a universal memory layer that works with any LLM or framework
  • •You're building personalized AI assistants with long-term context

Choose EverOS when…

  • •You want agent memory stored as plain, human-readable markdown files
  • •You need local-first memory with no hosted service dependency
  • •You want hybrid keyword + vector retrieval out of the box

Side-by-side comparison

Field
Mem0
EverOS
Category
Memory & Persistence
Memory & Persistence
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Pro: $49/mo
OSS: Free
GitHub Stars
⭐ 30,000
⭐ 11,500
Health
●95 — Active
●100 — Active

Mem0

Open-source persistent memory layer that gives AI agents the ability to remember users, preferences, and context across sessions. Supports vector, graph, and key-value storage backends. AWS partner for Strands Agents. YC W23, $24M raised, 30K+ GitHub stars.

Website ↗GitHub ↗

EverOS

Open-source agent memory runtime storing state as plain markdown with hybrid BM25 + vector retrieval, plus 'self-evolving' skills that update from experience. Local-first alternative to hosted memory layers like Mem0 and Letta.

Website ↗GitHub ↗

Only Mem0 (7)

ZepOpenAI APIQdrantLangGraphCogneeGraphitiEverOS

Only EverOS (2)

Mem0Letta

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