Memory & knowledge MCP servers

Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zero upkeep.

Lossless storage and search for AI agent sessions, across every agentic client.

MyKG Knowledge Graph Engine: Turn raw files into knowledge graphs with induced ontology

Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware retrieval.

One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.

Memory for AI agents that never leaves your device. Local-first, end-to-end-encrypted, zero-telemetry memory engine (Rust, MCP) — gives Claude & any MCP client persistent cross-session memory.

Local MCP server that gives AI coding agents persistent, searchable memory of your codebase

Advanced graph-based code analysis for AI-assisted software development

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

The intentional memory layer for your AI agents.

A control room for AI memory. Your files and conversations become searchable memory any model you connect can draw on, and you decide what enters, what moves and what leaves. Vaults live on your hardware. Windows, macOS, Linux.

Local-first, LLM-agnostic memory system — hybrid retrieval (vector + lexical + graph), multi-signal ranking. Runs on 4GB RAM, CPU-only, no cloud.

Persistent memory for AI coding agents via MCP: a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter and Gemini Flash into Neo4j via Graphiti. 14 MCP tools, hierarchical clusters, three-regime confidence decay.

High-performance MCP server for AI coding agents: persistent knowledge graph, blast radius analysis, semantic search. Built in Rust.

The Compiler-Aware Operating System Kernel CodeGraph Engine for Token-Efficient Structural Codebase Retrieval

Portable, governed, model-agnostic memory for AI agents: facts invalidated never deleted, raw text as truth, one documented export format.

A production-grade knowledge base operating system — AI agents compile raw sources into persistent, cross-linked Markdown wikis with concurrency control, multi-provider LLM integration, FTS5 search, and community detection. One repo. Any agent. Any machine.

An MCP server that acts as a central memory system and workflow guardian for AI agents, featuring knowledge graph capabilities and autonomous guidance prompts.

Index and search Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory across sessions.