by memovai · MCP Server · ★ 190
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English 中文 VibeGit🤌: Auto-trace your prompts, context & code diffs. [
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturall
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
🚀 Universal SDK for building next-gen MCP servers
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few
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memov is Give git-like & traceable memory to OpenClaw and any coding agents. By https://memov.ai/ aka Entire CLI for every coding agents by MCP.. It is categorized as a MCP Server with 190 GitHub stars.
memov is primarily written in Python. It covers topics such as agent, agentic-ai, agentic-rag.
You can find installation instructions and usage details in the memov GitHub repository at github.com/memovai/memov. The project has 190 stars and 22 forks, indicating an active community.
memov is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to memov on Agent Skills Hub include oreilly-ai-agents, mcp-gitlab-server, octocode-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.