A curated collection of Spring Boot projects demonstrating AI and LLM integrations, including examples of AI-powered applications, multi-provider LLM setups, and best practices for Spring AI, modular design, and integration testing.
Cross-referenced across 55 tracked directories
#45454
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
11/23/2025
Created
9
GitHub Stars
4
Forks
4/19/2026
Last Commit
Recently added to the ecosystem
omega-memory
🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 12 MCP tools, local-first.
...moredesiorac
Scans codebases for AI framework usage (16 frameworks) and checks compliance against EU AI Act requirements. Features 4-tier risk categorization, GDPR compliance checking, report generation, and compliance document templates.
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- **Name**: mcp-proxmox - **GitHub**: https://github.com/antonio-mello-ai/mcp-proxmox - **PyPI**: https://pypi.org/project/mcp-proxmox/ - **Description**: MCP server for managing Proxmox VE clusters. 22 tools for discovery, lifecycle, provisioning, snapshots, backup/restore, storage, network, resize, monitoring, and command execution. - **Language**: Python - **Install**: `uvx mcp-proxmox` or `pip install mcp-proxmox` - **Configuration**: ```json { "mcpServers": { "proxmox": { "command": "uvx",
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