arben-adm/mcp-sequential-thinking

🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage. This server provides recommendations for which MCP tools would be most effective at each stage.

MCP server for structured AI reasoning — decompose problems into atomic thoughts with dependency graphs, confidence tracking, and interactive D3.js visualization

Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

Memory for your AI work across projects and sessions. Save decisions, rules and lessons with source and applicability. Connect over MCP.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains plus a Git-like skills registry, letting skills evolve with experience through versioned, integrity-checked updates and fast retrieval.

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.