Letta vs ragflow
Side-by-side comparison of two AI agent tools
Short answer
- ragflow is growing faster: +2,412 GitHub stars in the last 30 days vs +513 for Letta.
- Pick Letta for: letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.
From GitHub data refreshed daily.
Lettaopen-source
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
ragflowopen-source
Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs
Metrics
| Letta | ragflow | |
|---|---|---|
| Stars | 25.0k | 91.6k |
| Star velocity /mo | 512.8571428571429 | 2.4k |
| Commits (90d) | 7 | 2.7k |
| Releases (6m) | 1 | 10 |
| Overall score | 0.5869394693270381 | 0.9150811116917444 |
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
- +结合了先进的RAG技术和Agent能力，提供比传统RAG更强大的功能
- +开源且拥有活跃社区支持，GitHub星数超过7.6万，可信度高
- +提供云服务和Docker容器化部署，支持多种部署方式
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
- -作为相对复杂的RAG系统，可能需要一定的技术背景才能充分配置和优化
- -大规模部署可能需要相当的计算资源和存储空间
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
- •企业知识库问答系统，基于内部文档为员工提供智能查询服务
- •智能客服系统，结合产品文档和FAQ提供准确的客户支持
- •研究助手应用，帮助研究人员从大量学术文献中检索相关信息
FAQ
- Which is more popular, Letta or ragflow?
- ragflow has more GitHub stars (91,600 vs 25,005).
- Which is more actively developed, Letta or ragflow?
- ragflow had more commits in the last 90 days (2,665 vs 7).
- Should I use Letta or ragflow?
- 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.