"Minds" matching MCP servers:

A deterministic Mastermind-style cipher lock exposed as MCP tools for benchmarking LLM reasoning and tool-use through a legible duel.

Lets Claude Code drive the local MindStrat desktop trading app through its own screen endpoints, covering market data downloads, MSF strategy authoring, backtests, optimizer and robustness runs, and portfolio/live deployment with gated confirmations. It also serves the app's manual as resources so the agent can write strategies that behave identically in live and backtest.

Swarm intelligence for AI agents, enabling collective decision-making through weighted consensus voting.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

An MCP server that gives AI citizens access to a shared knowledge graph governed by 21 physics laws.

Enables AI agents to persist and retrieve memories via a personal knowledge graph, with tools for emotional intelligence, CRM, life management, social features, self-training, and autonomous insights.

Long-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.

Provides a runtime for autonomous virtual robot brains, sitting between game engines and LLM inference to offer perception ingestion, LLM-driven reasoning, episodic memory, personality engine, motor output, and multi-bot registry.