letta
★ 25.2k
vs
sense
★ 40
letta vs sense
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.; sense: Sense is an MCP server designed to provide AI coding agents with a deep structural understanding of codebases. It indexes repositories locally, offering tools like symbol graph, semantic code search, and convention detection to enhance agent efficiency and accuracy.
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.
senseMemory & Context · ★ 40
Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.
02
Side-by-Side Comparison
Field
lettasenseCategory
Memory & Context
Memory & Context
Stars
★ 25.2k
★ 40
License
Apache-2.0
MIT
Install Command
npm install -g @letta-ai/letta-code
curl -fsSL https://luuuc.github.io/sense/install.sh | sh
Updated
5d ago
1d ago
Open Source
Yes
Yes
Tags
Stateful AI, Agent Platform, Advanced Memory
AI Coding Agents, Codebase Context, Symbol Graph
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
sense01Provides symbol relationships, callers, callees, inheritance, tests, and dead code detection via `sense_graph`.
02Offers hybrid semantic code search (`sense_search`) with bi-encoder, cross-encoder, keyword, and text fallback.
03Calculates blast radius, affected code, affected tests, and risk score using `sense_blast`.
04Detects project-specific coding conventions from source via `sense_conventions` for style adherence.
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.
sense↳Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.
↳Reduce AI agent tool calls, token usage, and session time, leading to significant cost and time savings for code-related tasks.
↳Help AI agents write code that adheres to specific project conventions and styles, improving code quality and consistency.
↳Perform advanced code analysis such as identifying dead code or understanding the blast radius of changes.
05
Best For
lettaMost PopularEssentialTrending
sense—
FAQ
FAQ
What is the difference between letta and sense?
Both letta and sense are in the Memory & Context category. letta has 25.2k stars, while sense has 40 stars.
Which is better, letta or sense?
The best choice depends on your use case. Choose letta if Running AI agents locally in your terminal for coding and general tasks., and sense if Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs..
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
Is sense free or open source?
Yes, sense is open source on GitHub (MIT).
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