"Using memory in programming with the Cursor system" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

A persistent personal memory system for Claude that accumulates and organizes knowledge over time using plain Markdown in a local git repo, providing tools for reading, searching, and capturing short-term memories.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

Provides cross-session persistent memory for coding agents via MCP tools to store, retrieve, and manage notes with hybrid keyword/semantic search and automatic deduplication.

An MCP server that lets users capture quick phone thoughts via Android and later query them from AI assistants like Grok or Claude, functioning as a simple task memory store without notifications or geolocation.

A local MCP server that provides agents with tools to list, read, search, inspect history and diffs, and capture unstructured text in a user-owned Git repository of durable memory.

Enables read-only cognitive retrospect over Obsidian notes, surfacing stance changes, verifying claims with citable evidence, and avoiding unfounded causal stories via hybrid retrieval and eight read-only MCP tools.

Local-first agentic knowledge layer over Obsidian notes, enabling MCP-aware agents to search, retrieve, and compile knowledge with provenance and task contracts.

Personal memory MCP server for Claude Code with an Obsidian-style graph. Enables persistent, queryable memories across sessions using Markdown files with bidirectional wiki-links and a D3.js force-directed graph UI.

Enables AI assistants to maintain persistent local memory across sessions by organizing experiences into hierarchical layers (raw logs, checkpoints, daily cards, and stories), with tools to write, search, and verify entries via hashes.

Provides curated long-term memory for Codex CLI via MCP, with Markdown-based storage, deduplication, and decay-based forgetting.

Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.

Persistent memory management for Claude Code, allowing agents to store and retrieve user preferences, environment notes, and skills across sessions.

This MCP server lets coding agents read and write a plain-markdown wiki, then audits that memory and local session transcripts to produce drift reports, session digests, and reusable lessons.

Enables project-scoped persistent linked memory for OpenCode V2, providing nine MCP tools for recall, update, pin, link, and read operations on notes within isolated projects.

Enables reading, writing, and searching a local markdown-based memory store using MCP tools, with safety checks and index consistency.

Enables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.

Lets coding agents like Codex, Cursor, and Claude Code share and resume each other's chats, and attach to a common task with saved notes that can be searched later. This keeps task state and decisions in sync no matter which agent you switch to.

Provides AI agents with persistent memory and cross-session archive management using IMA notes and knowledge bases. It enables memory storage, search, updating, session saving, and shared memory across any MCP-compatible client.

Enables AI assistants to maintain a persistent, local memory using SQLite with ranked full-text search, German morphological matching, and two-axis filing, all without external services.