StashBase
Like an IDE, but for writing.
StashBase is an open-source, local-first writing workspace where you can write with Claude Code and Codex, drawing on your own sources and past work.
- 🔎 From files to context. Give your agent fast, accurate search across your sources with text extraction and semantic search.
- 📝 Doc diff ≠ Code diff. Read edits in the flow of your document, without jumping between old and new lines.
- ✍️ Make it sound like you. Use your past writing and edits to guide new drafts and preserve your voice.
Product Preview

Design prototype. Inline document revisions are coming soon.
Get Started
macOS 12+ (Apple Silicon and Intel) and Windows 10+ (x64) are the primary platforms. Linux x86_64 Debian 12+ / Ubuntu 22.04+ is community-supported. On Intel Macs, local search and PDF/image text extraction require macOS 15+; older supported systems can still open projects and edit files. Agent runtime requirements may vary. Intel installers are available starting with v2.9.5.
On macOS, install with Homebrew:
brew install --cask liliu-z/stashbase/stashbase
Or download the latest release:
| Platform | Download |
|---|---|
| macOS Apple Silicon | StashBase-*-mac-arm64.dmg |
| macOS Intel | StashBase-*-mac-x64.dmg |
| Windows x64 | StashBase-*-win-x64.exe |
| Linux x86_64 | StashBase-*-linux-amd64.deb or .AppImage |
See Installation for platform steps, updates, and troubleshooting.
Start Writing
- Enter a project. Open or create a local folder.
- Choose an Agent. Select Claude Code or Codex and complete its setup with your provider account. If you can't use either, the built-in Default Agent is available as a fallback. Sign in to StashBase to use its free credits.
- Talk it through. Try: “I want to write a blog post about Humanizer. Interview me to understand what I think about it before drafting.”
- Draft and revise. Ask your Agent to draft the article, then review and refine it.
Choose between Chat and Documents modes to suit the task at hand.
See Using StashBase for everyday document and search workflows.
Explore the Gallery
Explore how people organize files and write with Agents. Copy a ready-made project or reuse its prompt to try a workflow with your own material.
For example, How to Start a Startup brings together Stanford CS183B lecture transcripts and a founder playbook.
Your Files and Your Data
Your documents stay in local project folders. Removing a project from StashBase doesn't delete its files. Browsing, editing, previews, and keyword search work without an account. PDF text extraction and OCR run locally, with required components downloaded on first use.
Agent conversations send your prompts and relevant context to model services. Claude Code and Codex use your provider accounts; the Default Agent connects through StashBase's hosted model gateway.
Search by meaning requires your own OpenAI or OpenRouter key in Settings → Advanced → Search by Meaning. It sends source text and search queries to your chosen embedding provider. Default Agent credits don't cover this service.
Official builds share basic usage statistics by default, excluding document and conversation content. You can turn this off in Settings → General → Privacy. See Usage statistics for details.
Connect External Agents
Agents in the built-in Chat connect to StashBase's tools automatically.
To use an external MCP client, keep StashBase running and copy the connection configuration from Settings → Advanced → External apps (MCP) into that client. It can read, search, and edit supported files in the project you select.
See MCP Configuration for client examples, transports, and access settings.
Build From Source
Install Node.js 24.11.0+, pnpm, and Python 3.13 with venv support. See Local Development for platform dependencies.
git clone https://github.com/liliu-z/stashbase
cd stashbase
pnpm install
pnpm setup:python
env -u ELECTRON_RUN_AS_NODE pnpm dev
The launch command above uses POSIX shell syntax to clear an inherited
ELECTRON_RUN_AS_NODE. On Windows, clear that variable in your shell before
running pnpm dev.
See Contributing for OCR setup, testing, and release guidance.
Contributing
StashBase is also an experiment in human-directed, AI-first development. Humans own product direction and trust decisions; AI helps connect design, implementation, review, and evidence. The Project Maintenance Model describes that working loop.
Small focused PRs are preferred. Open an issue before larger changes so scope and direction can be discussed first.
- Contributing guide — development and validation.
- Product design — intent, workflows, and contribution areas.
- Engineering contracts — ownership, invariants, and review.
Feedback
Report an issue or join the Discord community for support and discussion.
About
StashBase is an independent open-source project built by Li Liu and Bing Wu.
Licensed under Apache 2.0.