mengram
★ 204
vs
letta
★ 25.3k
mengram vs letta
mengram: Mengram is an AI memory layer that enables agents to remember facts, events, and workflows, with procedures automatically improving from failures. It uniquely stores semantic, episodic, and procedural memory, offering experience-driven evolution for AI agents.; 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
mengramMemory & Context · ★ 204
Building intelligent AI agents that learn and adapt from real-world outcomes.
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
mengramlettaCategory
Memory & Context
Memory & Context
Stars
★ 204
★ 25.3k
License
Apache-2.0
Apache-2.0
Install Command
pip install mengram-ai
npm install -g @letta-ai/letta-code
Updated
2d ago
1w ago
Open Source
Yes
Yes
Tags
AI Agents, Memory Layer, Procedural Memory
Stateful AI, Agent Platform, Advanced Memory
03
Features
mengram01Stores Semantic, Episodic, and Procedural Memory types.
02Experience-Driven Evolution: Procedures automatically improve when they fail.
03Cognitive Profile generation for personalized LLM system prompts.
04Multi-User Isolation: Separate memory spaces for individual users in multi-tenant applications.
05Import existing data from ChatGPT, Obsidian, or text files to avoid cold-start problems.
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
mengram↳Building intelligent AI agents that learn and adapt from real-world outcomes.
↳Enhancing DevOps agents by enabling procedures to evolve from deployment failures.
↳Creating personalized customer support agents that remember returning customers and their history.
↳Personalizing LLM interactions and responses using a dynamically generated cognitive profile.
↳Developing multi-tenant applications where each user requires an isolated and persistent memory space.
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
mengram—
lettaMost PopularEssentialTrending
FAQ
FAQ
What is the difference between mengram and letta?
Both mengram and letta are in the Memory & Context category. mengram has 204 stars, while letta has 25.3k stars.
Which is better, mengram or letta?
The best choice depends on your use case. Choose mengram if Building intelligent AI agents that learn and adapt from real-world outcomes., and letta if Running AI agents locally in your terminal for coding and general tasks..
Is mengram free or open source?
Yes, mengram is open source on GitHub (Apache-2.0).
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
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