Letta vs Supermemory
Side-by-side comparison of two AI agent tools
Lettaopen-source
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
S
Supermemoryopen-source
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Metrics
| Letta | Supermemory | |
|---|---|---|
| Stars | 25.0k | 31.0k |
| Star velocity /mo | 514.8128342245989 | 2.6k |
| Commits (90d) | 8 | 182 |
| Releases (6m) | 1 | 10 |
| Overall score | 0.5221049967903727 | 0.8140953755537769 |
Pros
- +Advanced persistent memory system that allows agents to learn and improve over time across sessions
- +Dual deployment options with both local CLI tool and cloud API for different use cases and security requirements
- +Model-agnostic architecture supporting multiple LLM providers with extensive SDK support for TypeScript and Python
Cons
- -Requires Node.js 18+ for CLI usage, which may limit adoption in some environments
- -API-based functionality requires API keys and cloud dependency for full feature access
- -As a relatively new platform for stateful agents, may have a learning curve for developers new to persistent memory concepts
Use Cases
- •Building coding assistants that remember project context and learn from previous debugging sessions
- •Creating customer support agents that maintain conversation history and learn customer preferences over time
- •Developing personal AI assistants that evolve their responses based on user behavior patterns and feedback
FAQ
- Which is more popular, Letta or Supermemory?
- Supermemory has more GitHub stars (31,039 vs 24,983).
- Which is more actively developed, Letta or Supermemory?
- Supermemory had more commits in the last 90 days (182 vs 8).
- Should I use Letta or Supermemory?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.