memory-bank-mcp
★ 920
vs
letta
★ 25.3k
memory-bank-mcp vs letta
memory-bank-mcp: The Memory Bank MCP Server provides a centralized service for managing memory bank files remotely. It supports multiple projects, ensures file structure consistency, and offers secure, isolated access via the MCP protocol.; 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
memory-bank-mcpMemory & Context · ★ 920
Centralized management of AI model context across various projects.
lettaMemory & Context · ★ 25.3k
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
Category
Memory & Context
Memory & Context
Stars
★ 920
★ 25.3k
License
MIT
Apache-2.0
Install Command
npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude
npm install -g @letta-ai/letta-code
Updated
1y ago
1w ago
Open Source
Yes
Yes
Tags
MCP, Memory Bank, Node.js
Stateful AI, Agent Platform, Advanced Memory
03
Features
01Multi-project memory bank management
02Remote access to memory banks via MCP protocol
03Consistent file structure enforcement and validation
04Project isolation for enhanced security
05Comprehensive CRUD operations for memory bank files
01Build 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
↳Centralized management of AI model context across various projects.
↳Providing remote memory bank capabilities to multiple AI assistants or development tools.
↳Integrating with AI clients like Claude, Cursor, or VS Code extensions to enhance their memory functions.
↳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
—
Most PopularEssentialTrending
FAQ
FAQ
What is the difference between memory-bank-mcp and letta?
Both memory-bank-mcp and letta are in the Memory & Context category. memory-bank-mcp has 920 stars, while letta has 25.3k stars.
Which is better, memory-bank-mcp or letta?
The best choice depends on your use case. Choose memory-bank-mcp if Centralized management of AI model context across various projects., and letta if Running AI agents locally in your terminal for coding and general tasks..
Is memory-bank-mcp free or open source?
Yes, memory-bank-mcp 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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