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-hosted coordination layer for AI agent fleets. Shared semantic memory, tasks, agent-to-agent messages, session handoffs, and a background archivist that synthesizes cross-agent knowledge. Any HTTP client participates — Claude Code, AutoGen, raw scripts.
Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.