"A system for building an autonomous second brain" matching MCP servers:

Enables people and AI assistants to share one persistent Markdown-in-Git memory, so any MCP client can load current context, save sessions and decisions, search notes, and work from a team's real knowledge across machines.

Persistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.

Enables MCP clients to give AI agents a shared, persistent Graph-RAG memory backed by an Obsidian-native vault, with hybrid search, token-budgeted recall, and memory updates.

Enables AI assistants to search a shared local archive of selected sessions, notes, and connected sources, returning source-backed context and citations through read-only MCP access.

Enables AI assistants to file notes into a self-hosted Obsidian vault and retrieve them later through structured and semantic search over plain Markdown.

Enables LLM clients to read, search, create, update, and delete notes in a self-hosted shared memory bank over MCP, using hybrid vector and full-text search with optional summarization.

Enables AI clients to search and append to a local Markdown knowledge base through MCP, with automatic incremental indexing and offline hybrid retrieval.

Provides tools to retrieve, ingest, and reindex a serverless personal knowledge base built from Obsidian wiki and external files, with hybrid semantic + keyword search via the Model Context Protocol.

Provides semantic search, note retrieval, source explanation, daily digests, and health checks for a local Obsidian vault, enabling MCP clients like Claude Desktop and Claude Code to query the second brain via natural language.

A personal AI-powered knowledge base MCP server that allows Claude to search, add, list, and delete documents from a local knowledge base.

A persistent memory server for AI tools like Claude, ChatGPT, and Cursor, enabling shared context across platforms.

Enables AI clients to search, find related content, and retrieve pages from an Obsidian wiki via vector-backed tools, with optional connectors for personal data sources.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.

Runs locally on your Mac to give AI agents a shared, private memory of your profile, notes, projects, and saved web pages, with semantic search and version history.

Turns a plain-Markdown Obsidian vault into a second brain that any MCP-speaking coding agent can search, read, extend, and maintain, using swappable SQLite, Qdrant, or markdown memory backends with automatic re-indexing and wiki-link graph navigation. Exposes read, write, and index tools plus an operator CLI for health, linting, and graph export.

A private, local AI second brain for Markdown notes, providing hybrid search and read/write tools for MCP-compatible AI clients like Claude and Cursor.

A personal second brain on Cloudflare Workers that stores knowledge as a semantic graph with auto-linking, deduplication, and MCP tools for AI agents to save, search, and connect information.

MCP server that gives AI agents a continual learning brain with lessons, skills, memories, evidence-based refinement, rollback, and hybrid GraphRAG retrieval.

Provides Claude with shared, durable memory across clients, backed by Supabase Postgres and pgvector. It lets agents save decisions, preferences, and project context, then recall them later with project-scoped visibility and semantic or text search.

A persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.

A nightly local pipeline that ingests zom codebases and their GitHub activity, compiles them into a queryable markdown brain, and serves it to Claude Code over MCP with strong privacy guarantees.

A persistent memory layer for Claude Code agents: five MCP tools (recall, remember, session, distill, status) over a markdown vault, SQLite FTS5 and an optional self-hosted Hindsight vector store, so an agent remembers facts, decisions and corrections across sessions.

Gives every AI agent you use one shared, versioned memory in a local SQLite file, so a fact saved from one app is found by all the others. Runs fully offline with no API key, records which agent wrote each change, and keeps every prior version so nothing is silently overwritten.

Enables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.

Enables AI agents to build, search, compare, and keep up to date an Obsidian knowledge vault from YouTube creators, with timestamped and code-verified claims, shared topic notes, and saved outputs.

An MCP server that ingests semiconductor PDFs into a Neo4j knowledge graph, enabling AI agents to query domain knowledge, verify claims against source text, and record design reasoning.

Provides persistent memory and knowledge management for coding agents via MCP, including typed decision/snippet/runbook storage, semantic search, explicit session lifecycle, and nightly consolidation.

Cognitive prosthetic for AI agents. Indexes conversation history from ChatGPT, Claude Code, Cursor, and Gemini CLI into searchable embeddings. 25 MCP tools including tunnel_state (resume where you left off), switching_cost (quantify context-switch penalty), thinking_trajectory (track idea evolution), and alignment_check (decisions vs principles). LanceDB + Parquet, 12ms recall, local-first.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.