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OMEGA vs Claude-Mem

Claude-Mem is a lightweight MCP memory server that stores notes in a single JSON file. OMEGA is a full memory platform with semantic search, core MCP tools, and zero external dependencies.

Quick notepad vs structured memory engine. Both serve Claude Code — at very different depths.

The Key Difference

OMEGA

Full memory platform

core MCP tools. Semantic search with hybrid BM25 + vector retrieval. Contradiction detection, intelligent forgetting, multi-agent coordination, and automatic capture via hooks. Works with every MCP client.

core MCP tools95.4% LongMemEval (research setup)Semantic searchAES-256
Claude-Mem

Lightweight note store

A minimal MCP server with roughly 3 tools: store, recall, and forget. Stores everything in a single JSON file on disk. Designed specifically for Claude Code with no external dependencies.

~3 toolsJSON storageClaude Code onlyKeyword search

Full Comparison

Every row is based on public repositories.

OMEGA vs Claude-Mem feature comparison
FeatureOMEGAClaude-Mem
Primary use caseMemory for any MCP clientNote storage for Claude Code
MCP Tools25~3
LongMemEval95.4% (research setup)Not published
ArchitectureSQLite + ONNX embeddingsSingle JSON file
Semantic searchYes (hybrid BM25 + vector)No (keyword only)
Storage engineSQLite (structured, queryable)JSON flat file
Embedding modelBuilt-in ONNX (offline)None
API keys requiredNoneNone
Auto-captureYes (hook system)No (manual only)
Cross-session memoryYesYes
Intelligent forgettingYes (audited)Manual delete only
Contradiction detectionYesNo
Multi-agent coordinationYes (Pro)No
Temporal reasoningYesNo
Checkpoint / resumeYesNo
Memory types17 (decisions, preferences, entities, ...)1 (notes)
Encryption at restAES-256No (plaintext JSON)
MCP client supportAny MCP clientClaude Code only
LicenseApache-2.0MIT

OMEGA's 95.4% on LongMemEval was measured in a research setup: GPT-4.1 as the reader model, bge-small embeddings; results depend on the model your agent uses.

Which Should You Use?

Choose OMEGA if you…

  • ✓Need semantic search — find memories by meaning, not exact keywords
  • ✓Want automatic memory capture as you work (hook system)
  • ✓Use multiple MCP clients (Cursor, Windsurf, VS Code), not just Claude Code
  • ✓Need contradiction detection and intelligent forgetting
  • ✓Want multi-agent coordination across parallel sessions
  • ✓Require encryption at rest (AES-256) for sensitive projects

Choose Claude-Mem if you…

  • ✕Only use Claude Code and want the simplest possible setup
  • ✕Need a quick scratchpad, not structured memory
  • ✕Prefer reading memory as a plain JSON file
  • ✕Don't need semantic search, coordination, or auto-capture