Open Canvas
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Open Canvas
Overview :
Open Canvas is an open-source web application designed for collaborative writing with agents to produce better documentation. It is inspired by OpenAI's 'Canvas,' but there are several key differences. It is fully open-source, including all the code for the front-end, content generation agents, and reflective agents, all released under the MIT license. It comes with built-in reflective agents that can remember style rules and user insights across sessions. Additionally, it allows users to start with a blank text or an existing code editor, working in the language of their choice, thus facilitating iteration on existing content.
Target Users :
The target audience includes developers, content creators, and tech enthusiasts who can leverage Open Canvas's open-source features for personalized customization or iterate on existing content to enhance writing efficiency and quality.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 65.4K
Use Cases
Developers can quickly build their own online collaborative writing platform using Open Canvas.
Content creators can make use of its memory features to maintain a consistent writing style across multiple sessions.
Tech enthusiasts can participate in the project's development, contributing code or suggesting improvements.
Features
Open-source: All code is open-source and licensed under MIT.
Built-in memory: Features shared memory for storing style rules and user insights, achieving cross-session memory.
Supports existing documents: Users can start with blank text or existing code editors, rather than being limited to chat interactions.
Easy deployment: Easily clone the repository and run it locally or deploy it to the cloud.
Development friendly: Provides clear development guidelines, making it easy for developers to contribute code or suggest improvements.
LangGraph support: Requires LangGraph Studio to run this Map or a LangSmith account for deployment to LangGraph Cloud.
Flexible configuration: Configure API keys and other environment variables through the `.env` file to accommodate different deployment needs.
How to Use
1. Clone the repository locally: Use the `git clone` command to clone the Open Canvas GitHub repository.
2. Install dependencies: Run `yarn install` in the project directory to install all necessary dependencies.
3. Install LangGraph Studio: Follow the project guidelines to install LangGraph Studio or create a LangSmith account to deploy to LangGraph Cloud.
4. Configure environment variables: Copy the contents of the `.env.example` file into a `.env` file and set the necessary API keys and environment variables.
5. Start the development server: Run the command `yarn dev` to start the local development server.
6. Access the application: Open your browser and go to `localhost:3000` to start using Open Canvas.
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