EdgeEver: An Open-Source Knowledge Base for Self-Hosting

What it is for

EdgeEver is an AGPL-3.0-licensed, open-source knowledge base and Evernote alternative. Its workflow centers on a classic three-pane layout for notebooks, note lists, and editing, while its main differentiator is an open data architecture with native AI-agent integration. For long-time note-taking users who want less platform dependence, it offers a self-hosting-oriented migration path.

The project supports two deployment directions: a serverless setup on Cloudflare, or Docker deployment on a VPS, NAS, or home server. The README presents Cloudflare as an option that does not require buying a server, while Docker is available for people who want control of the runtime environment. However, “free” depends on service quotas and actual usage; it should not be read as a universal guarantee of zero cost.

Documented capabilities

EdgeEver uses standard SQLite and exposes REST API, MCP, and CLI access. A complete library can be exported as a ZIP containing Markdown, Front Matter, nested folders, relative attachment links, and revision history. Individual notes can also be exported as Markdown, HTML, or PDF. These features are useful for people who value portability and want to retain the structure of their knowledge base.

The editor and organization features include the three-pane layout, unlimited nested notebooks, rich-text and Markdown views, revision history, public note sharing, batch operations, and a desktop focus mode. Offline drafts and queueing allow changes to be made while disconnected and synchronized after reconnection. The README lists attachments for PDFs, Office documents, archives, audio, and video. It also documents Mermaid rendering, visual flowcharts and mind maps, and rich-copy formatting for blogs and newsletters.

For AI workflows, EdgeEver integrates with MCP so compatible tools can read, organize, and summarize notes. The README also describes connections to OpenAI-, Anthropic-, or Gemini-compatible services for summarization, key-point extraction, proofreading, translation, and continuation. The v1.74.0 release notes confirm that the built-in assistant gained an Agent mode that can search, organize, and write notes directly.

Who may benefit

EdgeEver is aimed at people who want to manage personal information across the Web, PWA, desktop, and mobile clients while accepting the responsibilities of self-hosting. Developers, researchers, and creators who need exports, API access, or MCP integration may also find it relevant. The familiar three-pane workflow can ease migration from traditional note applications, while offline editing, web clipping, and multi-device synchronization support capture-heavy workflows.

Limitations and deployment considerations

Deployment is not simply an application install. The Cloudflare route involves configuring D1, R2, and Worker-related resources, while Docker users must handle the host, storage, backups, and upgrades. The supplied sources do not confirm a universal minimum hardware profile or independently verified performance ceiling, so README capacity estimates should not be treated as guarantees.

AI features may require an external model provider or compatible relay. The sources do not establish provider pricing, retention policies, or privacy boundaries. For sensitive notes, operators should review what data is sent, how credentials are stored, and the provider’s terms before enabling these features. MCP access and automatic note writing also make permission design important.

Finally, EdgeEver uses AGPL-3.0. Teams offering modified versions as a network service should obtain appropriate license advice before launch. The public demo resets every day, and the official README warns against storing private content there. A production deployment should therefore include its own backups, access controls, and recovery process.

Sources

• GitHub repository metadata
• Project README
• Official release
• Official project page

Sources checked: 2026-09-16