GraphMemory-IDE
★ 17
vs
letta
★ 25.2k
GraphMemory-IDE vs letta
GraphMemory-IDE: GraphMemory-IDE is an AI-assisted long-term memory system for IDEs, powered by Kuzu graph database. It provides semantic vector search, graph-based knowledge storage, and real-time analytics. It integrates with VSCode, Cursor, and Windsurf via 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
GraphMemory-IDEMemory & Context · ★ 17
AI-assisted context management during code development
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
GraphMemory-IDElettaCategory
Memory & Context
Memory & Context
Stars
★ 17
★ 25.2k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/elementalcollision/GraphMemory-IDE.git && cd GraphMemory-IDE/docker && docker compose up -d
npm install -g @letta-ai/letta-code
Updated
1w ago
5d ago
Open Source
Yes
Yes
Tags
codon, codon-optimization, cursor
Stateful AI, Agent Platform, Advanced Memory
03
Features
GraphMemory-IDE01Graph-based memory storage with semantic vector search
02Codon-accelerated graph algorithms for 10-100x speedups
03FastAPI backend with JWT authentication and security middleware
04Real-time analytics via WebSocket and SSE streaming
05Multi-IDE plugin support for VSCode, Cursor, and Windsurf
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
GraphMemory-IDE↳AI-assisted context management during code development
↳Graph-based dependency analysis and knowledge graph exploration
↳Real-time monitoring and telemetry of IDE usage
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
GraphMemory-IDE—
lettaMost PopularEssentialTrending
FAQ
FAQ
What is the difference between GraphMemory-IDE and letta?
Both GraphMemory-IDE and letta are in the Memory & Context category. GraphMemory-IDE has 17 stars, while letta has 25.2k stars.
Which is better, GraphMemory-IDE or letta?
The best choice depends on your use case. Choose GraphMemory-IDE if AI-assisted context management during code development, and letta if Running AI agents locally in your terminal for coding and general tasks..
Is GraphMemory-IDE free or open source?
Yes, GraphMemory-IDE is open source on GitHub (MIT).
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→