optuna-mcp: Optuna MCP Server exposes the Optuna hyperparameter optimization framework as a Model Context Protocol server. It lets LLMs and AI assistants run and manage optimization studies directly through a chat interface, create and analyze Optuna trials, and optimize parameters for any workflow. Compatible with Claude Desktop, Cursor, and other MCP clients via uv or Docker.; zettelforge: ZettelForge provides persistent memory for AI agents with automatic entity extraction, knowledge graph construction, and STIX ontology. It supports offline operation with no API keys or cloud dependencies. It features alias resolution, blended retrieval, and memory evolution for cyber threat intelligence.
Automated hyperparameter tuning for ML models driven by an LLM
Persistent memory for AI agents in cyber threat intelligence