Chisle
The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
翻訳待ち
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.
翻訳待ち
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AI research workbench for reproducible science — open-source, local-first, and model-agnostic.Read the full README ↗November 12, 2026
View the full v1.2.2 release notes
Hand off a result with a .science package. Export the conversation branches, file versions, Notebook records, and verification evidence you want to share. Recipients can import the package into their own projects, open the read-only record, and trace a figure or table back to its inputs. Verification records describe the sender’s checks. In the desktop app, Fork to continue creates a writable copy.
Present the same work as a Research Film. In the desktop app, choose Generate research film on a completed conversation branch. Your configured model prepares the presentation from the recorded session, and the local speech engine generates English narration. Review the film, then download the HTML player or export an MP4. A .science package can also carry the player for a film already generated on an included branch.
Open the official download page and choose the installer for your computer:
| Your computer | Choose |
|---|---|
| macOS 12+ — Apple Silicon (M1 or newer) | The macOS DMG for Apple Silicon / ARM64 |
| macOS 12+ — Intel | The macOS DMG for Intel / x64 |
| Windows 10/11 x64 | The Windows x64 installer (code-signed) |
| Linux x64 | The Linux x64 AppImage or Debian package |
| Linux ARM64 | The Linux ARM64 AppImage or Debian package |
See download verification for checks before installation.
On macOS, you can also install with Homebrew:
brew install --cask open-science
The release assets include standalone CLI archives for macOS, Linux, and Windows. They bundle Node.js, so you can run the CLI without installing Node.js, npm, or Homebrew.
For the standalone CLI on macOS or Linux, use the separate AIPOCH tap:
brew install aipoch/tap/open-science
This Formula includes Node and runs without the desktop app; its release may differ from the desktop Cask. See the standalone runtime guide for prerequisites and upgrades.
For the standalone CLI and Web UI, install the published npm package with Node.js 22.13.0 or later:
npm install --global @aipoch/open-science
open-science start --no-open
open-science url
Open the printed URL to complete setup, or follow the terminal setup guide. npm supports macOS ARM64/x64, glibc Linux ARM64/x64 and Windows x64; the desktop app is not required. Keep npm optional dependencies enabled and review the Linux prerequisites and upgrade instructions. The URL contains an authentication token; keep it private.
Windows reinstalls preserve research data. For a full cleanup, see the data reset tool, which permanently deletes local data after confirmation.
Follow the setup wizard: Environment → Data location → Agent runtime → Model provider → Notebook runtime.
Complete the required environment and agent-runtime checks and test your model connection. Python/R Notebook setup is optional; Notebook and data-location settings can be changed later.
After setup, open System settings to change appearance or notifications. In General, you can find diagnostics, command-line tools, and the guide to manual installation and updates.
The former Model settings tab is now Local capabilities, covering PDF extraction, OCR language packs, and research narration. Narration requires a locally installed voice model.
@ to reference project files or / to choose a skill.Screenshots in this README illustrate the workflow. Labels, catalogs, and other interface details may differ from the version you install.
This is the beginning of the README. Read the rest at the original. Read the full README ↗