"Using Windsurf and Claude Tools or Technologies" matching MCP servers:

Pull Deep Memory from across your Claude Code Sessions — when you need it.

An MCP server that reads all your Claude Code project memory files and exposes them as tools. Lets any Claude instance — in any project, or via Claude.ai — query your full project history and preferences.

A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.

Self-improving learning engine for Claude Code. Extracts signals from sessions (corrections, successes,confusion), runs periodic reflections, and evolves behavioral frameworks through evidence. 9 MCP tools, automatichooks, local-only.

An MCP server that gives Claude persistent, locally-stored memory with verification-gated lessons and a Pattern Oracle to prevent unverified guesses from becoming ingrained facts.

Post-hoc session handoff and project memory for Claude Code: MCP tools list_sessions and handoff turn any session — even crashed or usage-limit-hit ones — into a clean handoff.md another model can continue from, with secrets redacted from every output. Zero dependencies, fully local; also distills a project's entire session history into one cited memory brief.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

Enables Claude Code to maintain a persistent todo list stored in SQLite, with tools to list, search, add, update, complete, and delete todos across sessions.

Provides context management and todo persistence with AI second opinions from ChatGPT and Claude. Enables saving code snippets, conversations, and todos across sessions with full-text search capabilities.

MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.

Persistent memory and session intelligence for AI coding assistants. Auto-tracks mistakes, decisions, and context via hooks. Mines your full session history for patterns, predictions, and cross-session search.

Enables Claude Code to retain persistent cross-session memory with semantic search, automatically tracking user corrections as behavioral patterns that move through lifecycle stages. It also extracts signals from every session to evolve and promote behavioral frameworks, giving the assistant developing judgment over time.

Enables Claude Code sessions to persist identity and cross-session memory through a local SQLite store with semantic search, so past facts, decisions, and lessons can be recalled by meaning. It also detects and classifies user corrections into behavioral patterns that progress from new to internalized, letting reflection cycles evolve skills that work over time.

Provides persistent, searchable memory for Claude Code using local SQLite, semantic embeddings, and full-text search, enabling Claude to recall and retrieve context across sessions and projects without external services.

An MCP server that enables Claude to search, retrieve, and contribute to a community-driven archive of AI-generated solutions, notes, skills, and tools, fostering knowledge sharing among AI agents.

Enables persistent cross-session memory, correction-pattern tracking, and self-evolving behavioral frameworks, so past facts and decisions stay searchable by meaning and recurring mistakes fade over time. Runs entirely locally through 15 MCP tools plus hooks, with optional semantic search via Ollama embeddings and no cloud or API key required.

Enables Claude Code to retain cross-session memory of facts, decisions, and lessons with semantic search, while tracking user corrections as behavioral patterns and evolving self-improving frameworks over time. All processing runs locally through an MCP server and hooks, requiring no cloud service or API key.

A lightweight journal/memory system for Claude Code with no ML dependencies, using SQLite for fast local storage.

Gives Claude Code persistent memory across sessions with semantic search, tracks and classifies user corrections to surface behavioral patterns, and evolves behavioral frameworks over time based on accumulated evidence. Runs entirely locally through 15 MCP tools and hooks, requiring no API key or cloud service.

Gives Claude Code persistent cross-session memory with semantic search, automatically detecting and classifying user corrections to track behavioral patterns over time. It also extracts signals from each session to evolve, promote, or retire behavioral frameworks, letting the assistant develop judgment that improves across sessions.

Gives Claude Code persistent cross-session memory with semantic search, automatic detection and classification of user corrections, and evolving behavioral frameworks that develop over time. Runs fully locally through Claude Code's hooks and 15 MCP tools, requiring no API key or cloud service.

Enables searching, reading, and appending change notes in an Obsidian vault through local MCP tools.

Local-first MCP server that enables multiple Claude agents to coordinate through a shared message bus with SQLite persistence and real-time clock anchoring.

Enables Claude Code to retain persistent identity and cross-session memory, storing facts, decisions, and lessons in a local searchable database that can be queried semantically by meaning. It also detects and classifies user corrections over time, tracking behavioral patterns through lifecycle stages so repeatedly confirmed working practices are promoted and failures retired.

Enables Claude Code to retain identity, memories, and behavioral frameworks across sessions — saving facts and decisions for later semantic search, detecting and classifying user corrections, and evolving learned frameworks over time. Everything runs locally through a SQLite-backed engine with 15 MCP tools plus hooks, requiring no cloud service or API key.

Gives Claude Code persistent memory across sessions, detecting and classifying user corrections, and evolving behavioral frameworks from accumulated evidence. Exposes 15 MCP tools for semantic memory search, signal recording, self-evaluation, and reflection cycles that run locally alongside automatic hooks.

Gives Claude Code persistent cross-session memory with semantic search over saved facts, decisions, and journals, alongside automatic detection and classification of user corrections as trackable behavioral patterns. It also extracts behavioral signals from sessions and evolves self-authored frameworks over time, so the assistant develops judgment that carries forward between conversations — all local, with no cloud or API key required.

Enables Claude Code to search and retrieve information from its past session transcripts, including tool calls, errors, and project-specific history, via an SQLite FTS5 full-text search index.

Gives Claude Code a persistent identity and cross-session memory with semantic search over saved facts, decisions, and journals. It also detects and classifies user corrections into behavioral patterns with lifecycle trends, reflecting periodically to promote or retire working frameworks.

Enables Claude Code to remember facts, decisions, and lessons across sessions through semantic and keyword memory search, and to track user corrections as behavioral patterns that evolve over time. It also exposes tools for loading identity and frameworks, recording signals, and triggering reflection cycles so the assistant's judgment improves with use.

Enables Claude Code to retain persistent identity, searchable cross-session memory, and self-evolving behavioral frameworks across conversations. It tracks user corrections as patterns, detects improvement trends, and reflects on accumulated signals to refine judgment over time.

Gives Claude durable, queryable memory by logging every prompt/response to Supabase Postgres and exposing MCP tools to save, search, and retrieve conversation history.

A lightweight MCP server that gives Claude Code Channels on Telegram persistent memory by storing facts, conversation logs, and session summaries in Supabase.

Provides Claude Code with cross-session memory, semantic recall of facts and decisions, and tracking of user corrections as behavioral patterns. Enables persistent identity, self-evaluation, and framework evolution so the assistant learns from past sessions.

An MCP server that provides Claude Code with persistent memory across sessions, including session checkpoints, image persistence, and bidirectional sync with claude.ai projects.

Enables Claude Code to use local markdown notes as persistent, searchable memory with hybrid recall, episodic memory, note-graph traversal, design memory, and optional cloud sync.

Cross-machine context sharing MCP server for Claude Code, enabling shared memory of decisions, patterns, and knowledge across multiple Claude Code instances on different machines.

Enables persistent cross-session memory, correction-pattern tracking, and evolving behavioral frameworks within Claude Code, exposing 15 MCP tools for saving and semantically searching facts, decisions, and lessons, loading identity and framework context, and triggering reflection cycles so the assistant improves over time.

Enables Claude Code to retain facts, decisions, and lessons across sessions through local semantic search, and to automatically detect, classify, and trend user corrections as behavioral patterns. It also runs reflection cycles that promote or retire learned frameworks, all through 15 MCP tools and hooks with no cloud dependency.

A persistent memory MCP server for Claude Code that enables long-term recall across sessions via hybrid search, code intelligence, and tools for reading/writing memory.