OMEGA vs Letta
Letta (formerly MemGPT) is a full agent framework with built-in stateful memory. OMEGA is a lightweight memory layer that plugs into any MCP-compatible coding agent.
Framework vs composable tool. Different philosophies for giving agents persistent memory. Here's an honest breakdown.
The Key Difference
Composable memory layer
A standalone memory server that any MCP client can connect to. Adds persistent memory to Claude Code, Cursor, Windsurf, or any tool that speaks MCP - without replacing your workflow.
Full agent framework
A complete agent runtime with memory baked in. LLM self-edits its own memory blocks. Requires deploying the Letta server and building agents within the Letta ecosystem.
Full Comparison
Every row verified from public documentation and GitHub repos. Updated February 2026.
Which Should You Use?
Use OMEGA if you…
- ✓Already use Claude Code, Cursor, or Windsurf and want to add memory
- ✓Want a memory layer without adopting a new agent framework
- ✓Need verified benchmark performance (#1 on LongMemEval)
- ✓Want zero-config setup - pip install and go
- ✓Care about data privacy with local-first, no-cloud architecture
- ✓Need checkpoint/resume for multi-day development tasks
- ✓Want intelligent forgetting with audited memory lifecycle
Use Letta if you…
- ✓Are building custom agents from scratch and want memory + orchestration in one framework
- ✓Want the LLM to self-edit its own memory blocks (MemGPT approach)
- ✓Are already using the Letta ecosystem and want to stay within it
- ✓Need cloud-hosted agent deployment via app.letta.com
All data verified February 2026 from official documentation and public GitHub repositories. OMEGA's LongMemEval score uses the standard methodology (Wang et al., ICLR 2025).