io.github.vnbochkarev-netizen/vibo-mcp — Model Context Protocol Server
This MCP server provides persistent memory for AI agents. The description indicates it supports L1/L2/L3 memory layers, web compression, and threads, enabling agents to retain and manage contextual information over time.
🛠️ Key Features
- Persistent memory for AI agents
- L1/L2/L3 memory layers
- Web compression
- Thread-based operation
🚀 Use Cases
- Maintaining multi-level agent memory (L1/L2/L3)
- Compressing web content for agent use
- Using thread-based workflows in agent applications
⚡ Developer Benefits
- Aligns with Model Context Protocol (MCP)
- Supports semantic-search-oriented agent memory needs
- Fits ecosystems involving Claude, Cursor, and LLM tooling
⚠️ Limitations
- No tool count or specific MCP tools are provided in the available data
📌 Topics
- claude, cursor, llm, mcp, memory, model-context-protocol, semantic-search, agent, ai-memory