Structured thinking, planning and decomposition.
n8n community node: DeepSeek R1/Reasoner Chat Model with proper reasoning_content handling for tool calls. Fixes the 'Missing reasoning_content field' error when using AI Agent with tools. Connect this as the Chat Model sub-node to your AI Agent.
Unicode-aware, session-based MCP server for structured reasoning
MCP server for systematic thinking, mental models, debugging approaches, and memory management
Strategic Intelligence MCP Server - connecting technical progress to business outcomes with systematic strategic planning
AI-powered changelog generator with MCP server support - works with most providers, online and local models
Render an AI agent's plans as visual MDX pages instead of walls of text
LingNao: deterministic reasoning for AI agents → verified/refuted/unverifiable. ~3ms, fail-closed.
Enhanced MCP Shrimp Task Manager with comprehensive LLM integration. A task management tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. Features real GPT-4 ↔ MCP tools communication, comprehensive testing pipeline
UK planning application data for AI agents: search, geo-query and fetch applications.
MCP Reasoner with multiple reasoning strategies including Beam Search and Monte Carlo Tree Search
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, quantum-resistant Jujutsu VCS, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory pe
High-performance WebAssembly theorem prover with dependent types, hash-consing (150x faster), Ed25519 proof signatures, MCP support for Claude Code, AgentDB vector search, episodic memory, and ReasoningBank learning. Formal verification with cryptographic
MCP server for AgentPlanner — AI agent orchestration with planning, dependencies, knowledge graphs, and human oversight
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
Persistent understanding via workflow prompts, typed updates, graph-native code, and supersession.
🔬 Local SQLite-based AI research agent swarm with GOAP planning, multi-perspective analysis, long-horizon recursive framework, AgentDB self-learning, anti-hallucination controls, and MCP server. Goal-oriented with parallel execution. No cloud dependencie
MCP server for structured iterative reasoning with 13 critical thinking lenses — a disciplined thinking scaffold for AI agents. Features structured reasoning state, cognitive moves (branch/revise/supersede/falsify/verify/retract/stop), Escalation Ladder,
Advanced project management intelligence and workflow optimization for ClickUp - AI-powered analytics, smart planning, and automation
Model Context Protocol server for the RetireGolden retirement-planning engine: headless, in-memory sessions over stdio (and optional HTTP).
A Perplexity API Model Context Protocol (MCP) server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, transparent reasoning, and multimodal support with file attachments (P