NevaMind-AI/memU
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
AI IntegrationAI/ML IntegrationAPI DevelopmentAPI developmentBackend DevelopmentCLI development
david-mamani
PROFILE
David-mamani
Developed six major enhancements for the NevaMind-AI/memU repository, focusing on expanding memory capabilities and improving developer workflows. Integrated Grok language models from xAI to enable advanced LLM features, and built a Dify memory API adapter with OpenAPI specifications and a FastAPI server for efficient memory storage and retrieval. Introduced a LangGraph adapter to expose memory tools within LangChain and LangGraph agents, supporting save and search operations. Expanded test coverage with robust unit tests for conversation formatting, ensuring reliable JSON handling. Additionally, implemented a Sealos memory-backed support agent via CLI, leveraging Python and YAML for backend orchestration and error handling.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
6
Lines of code
3,661
Activity Months1
Your Network
29 peopleWork History
January 2026
6 Commits • 6 Features
Jan 1, 2026January 2026: Delivered six major enhancements for memU that expand memory capabilities, enable versatile LLM usage, and improve developer experience. Implemented Grok integration with memU to leverage Grok (xAI) language models, added a Dify memory API adapter with OpenAPI specs and a FastAPI server for add/search memory, introduced a LangGraph adapter to expose MemU memory features as LangChain/LangGraph tools (save_memory, search_memory), expanded test coverage with conversation formatter unit tests, and launched a Sealos memory-backed support agent to remember user interactions across sessions via a CLI workflow. Additionally, upgraded dependencies to promote FastAPI as the main dependency to satisfy deptry checks, improving reliability and integration.
6 Commits • 6 Features
Jan 1, 2026January 2026: Delivered six major enhancements for memU that expand memory capabilities, enable versatile LLM usage, and improve developer experience. Implemented Grok integration with memU to leverage Grok (xAI) language models, added a Dify memory API adapter with OpenAPI specs and a FastAPI server for add/search memory, introduced a LangGraph adapter to expose MemU memory features as LangChain/LangGraph tools (save_memory, search_memory), expanded test coverage with conversation formatter unit tests, and launched a Sealos memory-backed support agent to remember user interactions across sessions via a CLI workflow. Additionally, upgraded dependencies to promote FastAPI as the main dependency to satisfy deptry checks, improving reliability and integration.
January 2026
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Quality Metrics
Correctness100.0%
Maintainability96.6%
Architecture100.0%
Performance93.4%
AI Usage70.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AI IntegrationAI/ML IntegrationAPI DevelopmentAPI developmentBackend DevelopmentCLI developmentFastAPIFull Stack DevelopmentLangChainLangGraphOpenAPIPythonUnit Testingbackend developmenterror handling
Repositories Contributed To
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