"Building a solid memory base for AI development" matching MCP servers:

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

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

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

A personal knowledge base MCP server that allows AI assistants to manage notes, tasks, and ideas through tools, resources, and prompts.

A lightweight personal knowledge base MCP server that lets clients store, search, organize, and summarize research notes from a local JSON file.

Automatically records AI conversation turns and code changes to local Markdown files to provide persistent context across chat sessions. It enables AI agents to search history through MCP tools and provides a web viewer for browsing past discussions.

Enables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.

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 shared-memory MCP server for Claude, Codex, Hermes, and other MCP-aware agents, providing a durable memory layer with Markdown files and SQLite fact store.

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.

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.

Enables AI agents to use Notion as a persistent memory tier by providing tools to search, read, save (upsert) pages, append to pages, and query databases.

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

A lightweight MCP memory engine for AI coding agents that provides zero-token-waste memory recall, knowledge graph management, and Obsidian-compatible notes. It enables agents to persist and retrieve project decisions, inspect file structures efficiently, and manage a persistent knowledge graph without Python dependencies.

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.