Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
Pythonaiming-lab/SimpleMem

SimpleMem

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

77.8/100
3.7KForks: 381
View on GitHub
Loading report...

Similar Projects

headroom

93

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Python62.2K

Memori

80

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Python15.7K

opensquilla

85

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

Python6.3K

ai-agents-from-zero

67

🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Python3.0K
Back to List