Eve Memory vs mem0 vs SuperMemory vs Zep vs Letta: AI Agent Memory Comparison

A comprehensive comparison of AI agent memory platforms: Eve Memory, mem0, SuperMemory, Zep, and Letta.

The Verdict

Eve Memory is the best choice for MCP-native integration across all clients (Claude Code, Gemini CLI) with operator visibility and multi-tenant safety. mem0 is best for established Python/JS SDK use. SuperMemory wins for seamless Claude Code auto-inject via its plugin. Zep is best for temporal knowledge graphs. Letta offers the most flexible LLM-as-OS approach.

AI agent memory is the infrastructure that lets AI tools remember context across sessions, conversations, and users. Five platforms dominate the space in 2026: Eve Memory, mem0, SuperMemory, Zep, and Letta. Each makes a different architectural bet.

Eve Memory

Eve Memory is managed memory infrastructure for AI agents, built MCP-first. It uses a 4-store model (working, episodic, semantic, and preference memory) and is backed by PostgreSQL + pgvector and Apache AGE. It features Bayesian confidence levels and constitutional validation.

mem0

mem0 focuses on reducing token costs and improving accuracy for production AI agents using a dual-store architecture (vector DB + knowledge graph). It has the largest ecosystem and strong SDK integrations.

SuperMemory

SuperMemory is a 5-layer context infrastructure platform. Their Claude Code plugin delivers automatic memory injection and capture without explicit tool calls, making it highly seamless for Claude Code users.

Zep & Letta

Zep anchors every memory in a temporal knowledge graph to track when facts change. Letta (formerly MemGPT) uses a radical 'LLM as OS' approach where agents actively manage their own memory tiers.

FeatureNAYAmem0, SuperMemory, Zep, Letta
Memory Stores4 (working, episodic, semantic, preference)mem0: 2. SuperMemory: 5-layer. Zep: 1. Letta: 3.
MCP SupportNative — built around MCP from day 1Add-on servers or plugins
Client ReachAll MCP clients (Claude Code, Gemini CLI, etc.)SDKs, Claude Code plugin, or custom frameworks
Operator VisibilityYes — managed dashboardNot a stated feature / Limited to visualization
Pricing ModelTBD (Private beta)Varies from Token/Search based to flat tier

NAYA is best for...

Developers and operators needing reliable, auditable agent memory across multiple AI runtimes (Claude, Gemini, Codex) via native MCP, with a focus on operator visibility and multi-tenant safety.

mem0, SuperMemory, Zep, Letta is best for...

mem0: Production AI agents using Python/JS SDKs. SuperMemory: Claude Code users wanting zero-effort auto-inject. Zep: Projects needing temporal knowledge graphs. Letta: Researchers building self-editing agents.

When choosing an AI agent memory framework, developers must consider architecture, MCP support, multi-tenant safety, and ecosystem integration. This comparison breaks down the top choices.

Decision Framework

Choose Eve Memory if you need MCP-native memory that works across Claude Code, Gemini CLI, and Codex CLI without a proprietary plugin, require operator visibility, and need a 4-store model with confidence-weighted facts and native tenant isolation.

Choose mem0 if you need the most battle-tested platform with the largest ecosystem, Python/JS SDKs, and SOC 2/HIPAA compliance.

Choose SuperMemory if you want the most seamless Claude Code experience with zero-effort auto-inject and auto-capture, connector integrations to Drive/Notion/OneDrive, and a generous free tier.

Choose Zep if temporal accuracy matters and Graph RAG is a core need. Choose Letta if you are building agents that should manage their own memory and want the most flexible, fully open-source platform.

FAQ

Does Eve Memory require a specific plugin?

No, Eve Memory works with standard MCP clients (Claude Code, Gemini CLI, Codex CLI) natively. You can configure lifecycle hooks for auto-inject without needing a proprietary plugin.

Which platform is best for Claude Code?

SuperMemory's new Claude Code plugin offers zero-effort auto-inject/capture, making it very seamless. Eve Memory also supports Claude Code via native MCP and lifecycle hooks for those who want cross-client compatibility.

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