letta
★ 25.2k
vs
claude-mem-lite
★ 67
letta vs claude-mem-lite
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.; claude-mem-lite: claude-mem-lite provides a persistent, cross-session memory system for Claude Code, automatically capturing coding observations and decisions. It uses an MCP server and hooks for efficient, cost-optimized context recall via hybrid full-text and semantic search.
01
TL;DR
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.
claude-mem-liteMemory & Context · ★ 67
Recalling past bug fixes and coding decisions across sessions.
02
Side-by-Side Comparison
Field
lettaclaude-mem-liteCategory
Memory & Context
Memory & Context
Stars
★ 25.2k
★ 67
License
Apache-2.0
MIT
Install Command
npm install -g @letta-ai/letta-code
npx github:sdsrss/claude-mem-lite
Updated
5d ago
2d ago
Open Source
Yes
Yes
Tags
Stateful AI, Agent Platform, Advanced Memory
Persistent Memory, LLM Memory Management, Claude Code Plugin
03
Features
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
claude-mem-lite01Automatic observation capture via Claude Code hooks.
02Hybrid full-text and semantic search (FTS5 + TF-IDF) with RRF.
03Episode batching for significant LLM cost reduction.
04Error-triggered and proactive file history recall.
05Cross-language synonym expansion (CJK↔EN) for enhanced search.
04
Use Cases
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.
claude-mem-lite↳Recalling past bug fixes and coding decisions across sessions.
↳Maintaining project context for AI coding agents over long periods.
↳Automatically getting relevant historical context when interacting with files.
↳Optimizing LLM token usage and cost for AI agent memory.
↳Zero-touch documentation of coding workflows and lessons learned.
05
Best For
lettaMost PopularEssentialTrending
claude-mem-lite—
FAQ
FAQ
What is the difference between letta and claude-mem-lite?
Both letta and claude-mem-lite are in the Memory & Context category. letta has 25.2k stars, while claude-mem-lite has 67 stars.
Which is better, letta or claude-mem-lite?
The best choice depends on your use case. Choose letta if Running AI agents locally in your terminal for coding and general tasks., and claude-mem-lite if Recalling past bug fixes and coding decisions across sessions..
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
Is claude-mem-lite free or open source?
Yes, claude-mem-lite is open source on GitHub (MIT).
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