Cortex
★ 75
vs
letta
★ 25.2k
Cortex vs letta
Cortex: Cortex is an MCP server that gives Claude Code persistent memory inspired by neuroscience. It automatically captures, consolidates, and surfaces relevant context, achieving state-of-the-art retrieval benchmarks across multiple datasets.; letta: Letta is a powerful platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time. It provides both a command-line interface for local agent execution and a comprehensive API with Python and TypeScript SDKs for seamless integration into applications.
01
TL;DR
CortexMemory & Context · ★ 75
Long-term project memory and context retention across sessions
lettaMemory & Context · ★ 25.2k
When to choose:
- You want a long-lived agent that remembers past work and rewrites its own memory and context over time.
- You want one agent reachable from CLI, desktop, browser, mobile and messaging apps, with subagents, schedules and hooks.
- You want memory you can inspect: the README says context is tracked in git and can sync to your own repository.
When to skip:
- You only need to add memory to an agent you already use through MCP; a small MCP memory server is a lighter fit.
- You rely on older Letta tutorials or the V1 API server: the project restructured, and the V1 server is retired.
- You want everything to work without signing in: Letta Cloud is the default backend and some features need it.
02
Side-by-Side Comparison
Field
CortexlettaCategory
Memory & Context
Memory & Context
Stars
★ 75
★ 25.2k
License
MIT
Apache-2.0
Install Command
claude plugin marketplace add cdeust/Cortex && claude plugin install cortex
npm install -g @letta-ai/letta-code
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
agent-memory-system, agent-skills, artificial-intelligence
Stateful AI, Agent Platform, Advanced Memory
03
Features
Cortex01Automatic memory capture and learning from user interactions
02Intelligent retrieval fusing five signals (vector, full-text, trigram, heat, recency)
03Neural graph visualization for exploring memory and connections
04Team memory system with transactive memory and agent specialization
05Neuroscience-based algorithms with published paper citations
letta01Build stateful AI agents with advanced memory
02Agents capable of learning and self-improvement over time
03CLI tool for running agents locally in your terminal
04Comprehensive API for integrating agents into applications
05Support for skills and subagents; fully model-agnostic
04
Use Cases
Cortex↳Long-term project memory and context retention across sessions
↳Multi-agent team coordination and knowledge sharing
↳Efficient code development assistance with context-aware recall
letta↳Running AI agents locally in your terminal for coding and general tasks.
↳Integrating stateful AI agents into custom applications using the API and SDKs.
↳Developing self-improving AI systems that adapt and learn continually.
05
Best For
Cortex—
lettaMost PopularEssentialTrending
FAQ
FAQ
What is the difference between Cortex and letta?
Both Cortex and letta are in the Memory & Context category. Cortex has 75 stars, while letta has 25.2k stars.
Which is better, Cortex or letta?
The best choice depends on your use case. Choose Cortex if Long-term project memory and context retention across sessions, and letta if Running AI agents locally in your terminal for coding and general tasks..
Is Cortex free or open source?
Yes, Cortex is open source on GitHub (MIT).
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
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