Letta (MemGPT) vs CogmemAi: How to Choose an Ai Memory Layer (2026)
Letta, the team behind MemGPT, helped define the idea of giving Ai agents long-term memory. CogmemAi tackles the same goal with a focus on recall accuracy and flexible deployment. If you are deciding between them, here is a fair, practical comparison.
Side by side
| Capability | CogmemAi | Letta (MemGPT) |
|---|---|---|
| Long-term memory benchmark | Highest published LongMemEval score, 95.10%, plus 91% on LoCoMo (above human baseline) | Research lineage in long-context memory |
| What it is | A memory layer you add to existing Ai tools | An agent framework with built-in, tiered memory (MemGPT lineage) |
| Works with | Claude, ChatGPT, Gemini, and any MCP-compatible tool (Claude Code, Cursor, Windsurf, Cline) | Its own agent runtime and SDK |
| Deployment | Cloud-hosted, zero-config local (private), or hybrid | Open source self-host and a managed platform |
| Interface | MCP server (35 tools), zero-install remote endpoint, REST API, Chrome extension | SDK and agent APIs |
| Privacy | Local mode keeps memory on your own machine; quantum-safe at-rest encryption | Self-hosting available for data control |
| Teams and compliance | Shared team memory, per-tenant isolation, mandatory rules in every response | Platform and team features |
| Free tier | Yes | Open source is free; managed tiers vary |
Framework vs memory layer
This is the core difference. Letta is an agent framework: you build your agent on Letta and get its tiered memory model as part of the package, which is powerful if you are starting fresh and want memory and the runtime together. CogmemAi is a memory layer you bolt onto the Ai tools you already use, so you can add recall to Claude Code, Cursor, or ChatGPT without changing how you build. If you already have a stack you like, CogmemAi fits into it; if you want a memory-native runtime to build on, Letta is built for that.
Recall quality
CogmemAi was tuned and measured against LongMemEval, the hardest public long-term-memory test, scoring 95.10%, the highest published result, plus 91% on LoCoMo, above the human baseline. When recall accuracy is the deciding factor, that published number is the clearest signal available.
Deployment and privacy
CogmemAi runs cloud-hosted, in a zero-config local mode that keeps memory on your own machine, or hybrid, with quantum-safe at-rest encryption. Letta offers open-source self-hosting and a managed platform.
When Letta might be the better fit
Honest answer: if you are building a new agent from the ground up and want a memory-native framework with the MemGPT lineage and an open-source community behind it, Letta is an excellent, well-respected choice. CogmemAi leans toward teams that want top recall accuracy, private or hybrid deployment, and memory that drops into the tools they already use.
Try CogmemAi free
CogmemAi has a free tier, so you can add persistent memory to your Ai today and see the recall quality for yourself.
Frequently asked questions
- Is CogmemAi better than Letta or MemGPT?
- They solve memory differently. Letta is an agent framework with memory built in, from the MemGPT lineage. CogmemAi is a memory layer you add to existing Ai tools, and it holds the highest published LongMemEval score (95.10%). Choose CogmemAi for recall accuracy and drop-in memory across tools; choose Letta to build on its memory-native framework.
- What is the highest published LongMemEval score?
- 95.10%, achieved by CogmemAi. LongMemEval is the field’s hardest long-term-memory benchmark.
- Do I have to switch frameworks to use CogmemAi?
- No. CogmemAi is a memory layer that plugs into the tools you already use through MCP, so you keep your existing setup.
- Can CogmemAi run locally and privately?
- Yes. CogmemAi has a zero-config local mode, so memory stays on your own machine, with quantum-safe at-rest encryption.
- Is there a free version of CogmemAi?
- Yes. CogmemAi has a free tier; start at no cost and upgrade only if you need higher limits.