Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Self-learning memory for AI coding agents. Observes tool sequences, user preferences, and recurring fixes; confidence-based promotion (hits ≥5 → mature, ≥10 → rule) so agents stop repeating mistakes without explicit instruction. SQLite-backed, project-aware, zero external deps. Works with Claude Code, Cursor, Windsurf, Goose, Codex. Published on PyPI as instinct-mcp and registered in the MCP Registry.
Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.