11 Self-Hosted Knowledge Base Tools (For Individuals and Teams)

I spent time evaluating these across personal homelab setups, team documentation workflows, and AI-augmented note-taking, filtering down to 11 tools that solve real problems that cloud-only solutions like Notion and Confluence leave unaddressed.

There's a reason self-hosted knowledge bases are surging in interest right now: local AI integration. Tools like Claude (via MCP), Ollama-backed local LLMs, and RAG pipelines mean you can now ask your own knowledge base questions in natural language, without sending your private notes to a third-party server. The difference between a knowledge base that supports Markdown on disk and one that locks you into a proprietary format is now the difference between AI-queryable and AI-blind.

Short on time? Jump to the comparison table below, or use the headers to find your fit.

At a Glance: All 11 Tools Compared

Here's a quick overview before the full breakdowns.

Now let's go through each one.

Outline - Best Team Knowledge Base with Native Claude/MCP Integration

Outline is a fast, Markdown-based team wiki and knowledge base that has quietly become the go-to self-hosted alternative to Notion/Confluence for small-to-medium teams - and its Model Context Protocol (MCP) support now lets you connect Claude directly to your Outline wiki to search, read, and write documents through natural language.

Who it's best for: Engineering teams and small companies who want a clean, fast, team-accessible wiki that doesn't require a Confluence subscription - especially teams that want Claude or other AI assistants to be able to query the wiki directly.

Quick Setup:

git clone https://github.com/vicalloy/outline-docker-compose.git
cd outline-docker-compose
cp scripts/config.sh.sample scripts/config.sh
# update config file: vim scripts/config.sh
make install  # Create a docker-compose config file and start it. Initializing the oidc-server(add oidc client for outline and create a superuser).

You will be asked to set up the username and the password for the authentication. Once you set all the things, you will see the outline running on localhost:8888 as below:

The Claude/MCP integration is the headline feature here. With the Outline MCP server, Claude can search your wiki, fetch document contents, and even create or update documents.

Verdict: The most AI-forward self-hosted team wiki available today. If your team uses Claude and wants the AI to actually know what's in your internal docs, Outline's MCP integration makes that real.

BookStack - Best Self-Hosted Wiki for Simple, Structured Team Documentation

BookStack is a self-hosted documentation platform organized around a physical book metaphor: Books → Chapters → Pages. It's opinionated in the best way, the structure makes sense immediately, and there's virtually no setup overhead for the end user.

Who it's best for: Small teams, IT departments, and homlab operators who need a clean, no-frills internal wiki for SOPs, runbooks, and project docs and don't want to spend time configuring the tool itself before using it.

Quick Setup:

#docker compose file
services:
  bookstack:
    image: lscr.io/linuxserver/bookstack:latest
    container_name: my_bookstack
    environment:
      - PUID=1000
      - PGID=1000
      - APP_URL=http://localhost:6875
      - APP_KEY=[key]
      - DB_HOST=my_bookstack_db
      - DB_USER=bookstack
      - DB_PASS=yourpassword
      - DB_DATABASE=bookstackapp
    volumes:
      - ./bookstack_app_data:/config
    ports:
      - 6875:80
    restart: unless-stopped
    depends_on:
      - bookstack_db

  bookstack_db:
    image: lscr.io/linuxserver/mariadb:latest
    container_name: my_bookstack_db
    environment:
      - PUID=1000
      - PGID=1000
      - MYSQL_ROOT_PASSWORD=yourpassword
      - TZ=Etc/UTC
      - MYSQL_DATABASE=bookstackapp
      - MYSQL_USER=bookstack
      - MYSQL_PASSWORD=yourpassword
    volumes:
      - ./bookstack_db_data:/config
    restart: unless-stopped

You need to set the parameters as per your requirements, then after docker compose up you will see the application running on localhost:6875. You just need to generate one APP_KEY then you can replace the same and run the compose file.

You will see a simple minimalist view which represents the books, chapters and pages. Export formats: Markdown, HTML, PDF, Plain Text, ZIP (portable backup of an entire Book or shelf).

Verdict: The most production-ready, plug-and-play wiki on this entire list. If your team has been putting off setting up internal documentation because every option felt complex, BookStack removes that excuse.

Wiki.js - Best Self-Hosted Wiki for Developer Teams

Wiki.js is a modern, Node.js-based wiki platform with multiple storage backends, including Git sync - meaning your documentation can live as Markdown files in a Git repository, automatically synced both ways. This makes it trivially easy to point AI tools at your docs.

Who it's best for: Developer teams who want their documentation to live in Git alongside their code and want a clean web UI on top without giving up version history, PRs, or `git blame` for docs.

Quick Setup:

services:
  db:
    image: postgres:15-alpine
    environment:
      POSTGRES_DB: wiki
      POSTGRES_PASSWORD: wikijsrocks
      POSTGRES_USER: wikijs
    volumes:
      - db-data:/var/lib/postgresql/data
    restart: unless-stopped

  wiki:
    image: ghcr.io/requarks/wiki:2
    depends_on:
      - db
    environment:
      DB_TYPE: postgres
      DB_HOST: db
      DB_PORT: 5432
      DB_USER: wikijs
      DB_PASS: wikijsrocks
      DB_NAME: wiki
    ports:
      - "3000:3000"
    restart: unless-stopped

volumes:
  db-data:

After running the compose, you will be able to see the application running:

After the initial setup of the email and password, you will get to see different features like search engines, API access, authentication, storage, analytics and many more.

Verdict: The best choice for engineering teams who want their wiki to behave like their code, in Git, reviewable, version-controlled, and introspectable by any AI tool that can read a repo.

Obsidian - Best Personal Knowledge Base with AI Plugin Ecosystem

Obsidian stores your notes as plain Markdown files on disk, which sounds simple, but it means you have the most AI-friendly knowledge base possible. Every local LLM (via Ollama), every AI agent (including Claude via MCP), and every search tool can work directly with your notes without any export step.

Who it's best for: Researchers, writers, developers, and knowledge workers who want a powerful personal knowledge base with bidirectional links, a graph view, and access to the richest AI plugin ecosystem of any PKM tool available.

Quick Setup:

services:
  obsidian:
    image: lscr.io/linuxserver/obsidian:latest
    container_name: obsidian
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Etc/UTC
    volumes:
      - obsidian-config:/config
    ports:
      - 3000:3000
      - 3001:3001
    restart: unless-stopped
    shm_size: "1gb"

volumes:
  obsidian-config:

After setting up your obsidian will be running on localhost:3000

It supports many open source and community plugins and the graph view is one of the most promising features. Through these plugins, like obsidian-mcp you can expose your Obsidian vault to Claude desktop.

Verdict: The most AI-ready knowledge base because it's the most file-system-friendly. Your notes are just Markdown. Claude can read them via MCP. Ollama can embed them for RAG. If AI augmentation of your personal knowledge base matters, start here.

AFFiNE - Best All-in-One Knowledge Base with Built-In AI Copilot

AFFiNE is an open-source, self-hostable Notion alternative that combines documents, databases, and an infinite whiteboard canvas - with a built-in AI Copilot that supports Claude, OpenAI, and Gemini models, configurable from the admin console of your self-hosted instance.

Who it's best for: Teams and individuals who want the Notion all-in-one experience (notes + projects + databases + visual thinking) but want to self-host their data and plug in their own AI provider, including Claude.

Quick Setup:

name: affine
services:
  affine:
    image: ghcr.io/toeverything/affine:${AFFINE_REVISION:-stable}
    container_name: affine_server
    ports:
      - '${PORT:-3010}:3010'
    depends_on:
      redis:
        condition: service_healthy
      postgres:
        condition: service_healthy
      affine_migration:
        condition: service_completed_successfully
    volumes:
      # custom configurations
      - ${UPLOAD_LOCATION}:/root/.affine/storage
      - ${CONFIG_LOCATION}:/root/.affine/config
    env_file:
      - .env
    environment:
      - REDIS_SERVER_HOST=redis
      - DATABASE_URL=postgresql://${DB_USERNAME}:${DB_PASSWORD}@postgres:5432/${DB_DATABASE:-affine}
      - AFFINE_INDEXER_ENABLED=false
    restart: unless-stopped

  affine_migration:
    image: ghcr.io/toeverything/affine:${AFFINE_REVISION:-stable}
    container_name: affine_migration_job
    volumes:
      # custom configurations
      - ${UPLOAD_LOCATION}:/root/.affine/storage
      - ${CONFIG_LOCATION}:/root/.affine/config
    command: ['sh', '-c', 'node ./scripts/self-host-predeploy.js']
    env_file:
      - .env
    environment:
      - REDIS_SERVER_HOST=redis
      - DATABASE_URL=postgresql://${DB_USERNAME}:${DB_PASSWORD}@postgres:5432/${DB_DATABASE:-affine}
      - AFFINE_INDEXER_ENABLED=false
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy

  redis:
    image: redis
    container_name: affine_redis
    healthcheck:
      test: ['CMD', 'redis-cli', '--raw', 'incr', 'ping']
      interval: 10s
      timeout: 5s
      retries: 5
    restart: unless-stopped

  postgres:
    image: pgvector/pgvector:pg16
    container_name: affine_postgres
    volumes:
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    environment:
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_DB: ${DB_DATABASE:-affine}
      POSTGRES_INITDB_ARGS: '--data-checksums'
      # you better set a password for you database
      # or you may add 'POSTGRES_HOST_AUTH_METHOD=trust' to ignore postgres security policy
      POSTGRES_HOST_AUTH_METHOD: trust
    healthcheck:
      test:
        ['CMD', 'pg_isready', '-U', "${DB_USERNAME}", '-d', "${DB_DATABASE:-affine}"]
      interval: 10s
      timeout: 5s
      retries: 5
    restart: unless-stopped

After setting up, your application will be running on localhost:3010

You can also manage AI integration through the settings by providing API_KEY and necessary URLs.

Verdict: The most feature-complete open-source Notion alternative, and the only one with a genuinely integrated AI Copilot you can point at Claude. For teams migrating from Notion who want to keep their AI features, this is the path.

SiYuan Notes - Best Privacy-First Knowledge Base with Local-First Architecture

SiYuan is a block-based, local-first personal knowledge management system with a built-in SQLite index, which means you get powerful block-level cross-referencing and database-like queries entirely on your own machine, with no mandatory cloud connection.

Who it's best for: Privacy-conscious individuals and power users who want deep block-level relational linking, a clean self-contained app, and the option to self-host their own sync server without any third-party cloud involvement.

Quick Setup:

version: "3.9"
services:
  siyuan:
    image: b3log/siyuan
    command: ["--workspace=/siyuan/workspace/", "--accessAuthCode=siyuanrocks"]
    ports:
      - 6806:6806
    volumes:
      - siyuan-data:/siyuan/workspace
    restart: unless-stopped

volumes:
  siyuan-data:

After running the setup you need to enter the authcode that you have set in the configuration in this case: siyuanrocks

You can also get the AI features through the API_KEY of ChatGPT, Claude, DeepSeek, and other models that support the OpenAI interface.

Verdict: The most technically sophisticated privacy-first PKM on the list. The SQL-queryable block database is genuinely unique; no other tool on this list lets you run relational queries across your notes like this.

Logseq - Best Knowledge Base for Networked Thought and Graph-Based Thinking

Logseq is a local-first, outline-based knowledge tool built around the concept of networked thought, every bullet point is a block that can be referenced from anywhere, and a graph view visualizes the connections between all your notes. Like Obsidian, it stores everything as plain Markdown (or Org-mode) files on disk.

Who it's best for: Researchers, academics, writers, and deep thinkers who work with connecting ideas across many notes, anyone who has found flat note apps limiting and wants to see how their knowledge relates to itself.

Quick Setup:

services:
  logseq:
    image: ghcr.io/logseq/logseq-webapp:latest
    ports:
      - "3001:80"
    restart: unless-stopped

After deploying the setup, the Logseq will be available at localhost:3001

Whiteboard and flashcards are one of the promising features from Logseq.

Verdict: The best choice for people who think in connections rather than linear documents. If you've ever wanted to see how all your research relates to itself, the graph view will immediately make sense. Pair it with Ollama and the Smart Search plugin for local AI querying.

AppFlowy - Best Open-Source Notion Alternative with Growing AI Features

AppFlowy is an open-source, local-first Notion replacement built in Flutter, with a modular architecture designed from the ground up for customization and self-hosting. Its AI integration is under active development, with integrations for local models (Ollama) and cloud providers being added in 2024-2025.

Who it's best for: Teams and individuals who want a Notion-like interface (documents, databases, kanban boards, calendars) with full local ownership and the ability to deploy their own sync server and are willing to accept that AI features are still maturing.

Quick Setup:

# clone repo
git clone https://github.com/AppFlowy-IO/AppFlowy-Cloud.git
cd AppFLowy-Cloud

# copy .env file
cp deploy.env .env

# change ports
NGINX_PORT=80
NGINX_TLS_PORT=443

docker compose up -d

docker compose ps

After the setup, if there is an error of a port already in use, try changing the ports and running the application again.

Verdict: The most Notion-like experience in the open-source world, with local-first data ownership. The AI integrations are genuinely there, just earlier-stage. If you want to own your Notion replacement and watch it grow, AppFlowy is the right bet.

Trilium Notes - Best Self-Hosted Tool for Deep Hierarchical Personal Knowledge

Trilium Notes is a hierarchical personal knowledge base with an unusual superpower: scripted automation via built-in JavaScript note scripts. Notes can contain runnable JS that queries and manipulates other notes, making it a programmable knowledge system, not just a static wiki.

Who it's best for: Power users and developers who want maximum flexibility in how their knowledge is organized and automated, including those who want to build custom AI integrations directly into their notes via JavaScript.

Quick Setup:

services:
  trilium:
    image: zadam/trilium:latest
    container_name: trilium-notes
    restart: unless-stopped
    ports:
      - "50081:8080" # Mapping to an alternative port to avoid conflicts with other apps
    volumes:
      - trilium_data:/home/node/trilium-data
    environment:
      - TRILIUM_PORT=8080

volumes:
  trilium_data:

After the setup the Trilium will be running on localhost:50081

It has a hierarchical structure of notes and also has the feature of canvas notes where you can add shapes, arrows and colors to your notes.

Verdict: The most programmable personal knowledge base on the list. If you've ever wanted your notes to run code and call an AI API on their own, Trilium (via TriliumNext) is the only tool on this list that does that natively.

Anytype - Best Local-First Knowledge Base with Offline-First Architecture

Anytype is a privacy-focused, object-based personal knowledge tool built on a peer-to-peer protocol (Any-Sync). Everything is stored locally first and synced peer-to-peer; there's no central server that holds your data. Even when using Anytype's network for sync, data is end-to-end encrypted before leaving your device.

Who it's best for: Privacy-focused individuals who want a Notion-like structured knowledge system with the strongest possible data sovereignty guarantees and are comfortable with a younger, still-maturing product.

Quick Setup:

Unlike the other projects this one needs you to download the Desktop app through their website: https://anytype.io/

Any experience gallery is one of the features they provide to experience different configurations created by some users for easy workflow management.

Verdict: The strongest privacy guarantee of any tool on this list, peer-to-peer, E2EE, and self-hostable right down to the sync layer. For users who treat data sovereignty as a non-negotiable, Anytype is the pick, even if it means waiting for AI features to land.

Joplin - Best Open-Source Notes App with Portable Encryption and Sync

Joplin is a mature, battle-tested open-source note-taking app that strikes the best balance between data portability, privacy, and accessibility across platforms. It syncs to virtually anything: Nextcloud, WebDAV, Dropbox, OneDrive, S3 and has Joplin AI and AI plugin support for LLM integration.

Who it's best for: Users switching from Evernote or OneNote who want an open-source, self-hostable replacement with broad platform support, end-to-end encryption, and enough extensibility to add AI features via the plugin system.

Quick Setup:

services:
  postgres:
    image: postgres:16
    volumes:
      - ./data/postgres:/var/lib/postgresql/data
    restart: unless-stopped
    environment:
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
      - POSTGRES_USER=${POSTGRES_USER}
      - POSTGRES_DB=${POSTGRES_DATABASE}
    networks:
      - joplin_network

  joplinsync:
    image: joplin/server:latest
    depends_on:
      - postgres
    ports:
      - "22300:22300"
    restart: unless-stopped
    environment:
      - APP_PORT=22300
      - APP_BASE_URL=${APP_BASE_URL}
      - DB_CLIENT=pg
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
      - POSTGRES_DATABASE=${POSTGRES_DATABASE}
      - POSTGRES_USER=${POSTGRES_USER}
      - POSTGRES_PORT=5432
      - POSTGRES_HOST=postgres
    networks:
      - joplin_network

networks:
  joplin_network:

After giving the necessary parameters in your .env or values in specific parameters, the Joplin server will run at localhost:22300.

It has a plugin named Jarvis (Joplin Assistant Running a Very Intelligent System), which is an AI note-taking assistant for Joplin, powered by online and offline LLMs (such as OpenAI's ChatGPT or GPT-4, Hugging Face, Gemini, Universal Sentence Encoder). For the Desktop application, you can download it from the official link.

Verdict: The safest choice for Evernote/OneNote migrants who value data portability above all else. The plugin ecosystem and AI integration make it more capable than it looks, and the sync flexibility means it fits into virtually any existing self-hosted stack.

Final Recommendation

If you need a team knowledge base with AI today, use Outline. Its MCP integration for Claude is production-ready, its Markdown export keeps you unlockedin, and the managed cloud tier means you can start without infrastructure. After that, pick based on your primary use case:

• Team documentation: Outline (AI-first, MCP/Claude) or BookStack (simple, structured)
• Developer teams wanting Git-backed docs → Wiki.js (Markdown in Git, then any AI agent can query it)
• Personal knowledge + AI plugins: Obsidian (plain files + Ollama/Claude MCP) or Logseq (graph-first with local AI)
• Notion replacement with built-in AI Copilot: AFFiNE (Claude/OpenAI/Gemini configured in admin)
• Privacy-first with maximum data sovereignty: SiYuan (local-first, SQL-queryable) or Anytype (E2EE P2P sync)
• Programmable personal knowledge base: TriliumNext (JavaScript scripting in notes, call AI APIs directly)
• Evernote migrators: Joplin (ENEX import, E2EE sync, AI plugin available)

If you have any of the self-hosted knowledge base tools not listed here, feel free to drop them in the comments!