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2026 Head-to-Head Teardown · Verified LongMemEval Benchmark

Memoria vs. Letta (MemGPT) — Plug-and-Play Deterministic Memory Without Replacing Your Agent Harness

Keep Claude Code, Cursor, Windsurf, and OpenCode as your agent runtime while adding 12.9 ms deterministic memory (100% LongMemEval vs. Letta's 74.0% LOCOMO).

Side-by-Side Comparison: Memoria vs. Letta (MemGPT)

CriterionMemoriaLetta (MemGPT)
LongMemEval Accuracy (500 q)100.0% (500 / 500)74.0% (LOCOMO)
Multilingual / Hebrew LongMemEval100.0% (102 / 102 · 98%+ enterprise bar · 15 languages)LLM prompt dependent
Recall & Code Query Latency<20ms (12.9 ms avg)500–2,500 ms (agent tool-call loop)
LLM Token Cost per Write0 tokens ($0)Full LLM agent turn per memory edit
Belief Revision on State ChangeAutomatic Supersedes revisionAgent self-edits markdown blocks
IDE & MCP Ecosystem15 AI clients auto-configured · 30 MCP toolsRequires adopting Letta runtime/ADE
1-Click Migration ImporterCLAUDE.md, .cursorrules, Mem0 JSON, ChatGPT & ClaudeCustom script required
Pricing$0 Free (1,000 calls) · $19 / $79 / $299 mo$20–$200/mo hosted runtime

When to choose Letta (MemGPT)

Choose Letta if you want an all-in-one stateful agent server that replaces your existing orchestration framework.

When to choose Memoria

Choose Memoria when you want to keep your existing IDE or agent framework (Claude Code, Cursor, Windsurf, OpenCode, Codex, VS Code, Zed, or custom Python/TS agents) and plug in 30 deterministic MCP tools in one command.

Migrate from Letta (MemGPT) in 60 seconds

1. Create your free Memoria account (1,000 API calls & memories included).
2. Open Memory Explorer on /account and paste your Letta (MemGPT) JSON export, CLAUDE.md, or .cursorrules.
3. Run the one-line installer below to connect all 15 AI coding clients:

curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash