# Cognee vs Letta (MemGPT): 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Cognee wins on modular Extract-Cognify-Load (ECL) graph+vector pipelines that plug into any existing agent (93.0), while Letta wins on OS-style self-editing core/archival memory tiers and stateful agent servers (92.0).

- **Category**: ECL Graph-Vector Memory vs OS-Style Stateful Agent Runtime
- **Canonical URL**: https://pulse-forge.io/vs/cognee-vs-letta
- **1-Click $0 Free Starter docker-compose.prod.yml + CLAUDE.md**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=cognee/cognee
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=cognee/cognee&source=md_vs
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=cognee/cognee&source=md_vs_999
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=cognee/cognee
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://pulse-forge.io/buy/category_leader?repo=cognee/cognee
- **Specimen #1 Production Config Preview (`docker-compose.prod.yml`)**: `+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)`

## Cognee Key Advantages
- 32.3k+ GitHub stars; replaces brittle chunk-RAG with deterministic graph + vector cognify pipelines
- Runs locally with small open-weight models and integrates with 30+ data sources
- Lightweight Python SDK embeds directly inside FastAPI, LangGraph, or PydanticAI

## Letta (MemGPT) Key Advantages
- 25.1k+ GitHub stars; pioneered OS-inspired virtual context management (core vs archival memory)
- Agents autonomously call memory-edit tools to update their own persona and long-term facts
- Full REST server with multi-agent shared memory blocks and ADE visual debugger