JasprAi is an open-source AI web automation tool that runs in your browser. A free alternative to OpenAI Operator with flexible LLM options and multi-agent system.
JasprAi's multi-agent system analyzing HuggingFace in real-time, with the Planner intelligently self-correcting when encountering obstacles and dynamically instructing the Navigator to adjust its approach - all running locally in your browser.
Looking for a powerful AI browser agent without the $200/month price tag of OpenAI Operator? JasprAi , as a chrome extension, delivers premium web automation capabilities while keeping you in complete control:
- 100% Free - No subscription fees or hidden costs. Just install and use your own API keys, and you only pay what you use with your own API keys.
- Privacy-Focused - Everything runs in your local browser. Your credentials stay with you, never shared with any cloud service.
- Flexible LLM Options - Connect to your preferred LLM providers with the freedom to choose different models for different agents.
- Fully Open Source - Complete transparency in how your browser is automated. No black boxes or hidden processes.
Note: We currently support OpenAI, Anthropic, Gemini, Ollama, Groq, Cerebras, Llama and custom OpenAI-Compatible providers, more providers will be supported.
- Multi-agent System: Specialized AI agents collaborate to accomplish complex web workflows
- Interactive Side Panel: Intuitive chat interface with real-time status updates
- Task Automation: Seamlessly automate repetitive web automation tasks across websites
- Follow-up Questions: Ask contextual follow-up questions about completed tasks
- Conversation History: Easily access and manage your AI agent interaction history
- Multiple LLM Support: Connect your preferred LLM providers and assign different models to different agents
Officially Supported:
- Chrome - Full support with all features
- Edge - Full support with all features
Not Supported:
- Firefox, Safari, and other Chromium variants (Opera, Arc, etc.)
Note: While JasprAi may function on other Chromium-based browsers, we recommend using Chrome or Edge for the best experience and guaranteed compatibility.
- Install from Chrome Web Store (Stable Version):
- Click "Add to Chrome" button
- Confirm the installation when prompted
Important Note: For latest features, install from "Manually Install Latest Version" below, as Chrome Web Store version may be delayed due to review process.
- Configure Agent Models:
- Click the JasprAi icon in your toolbar to open the sidebar
- Click the
Settingsicon (top right) - Add your LLM API keys
- Choose which model to use for different agents (Navigator, Planner)
To get the most recent version with all the latest features:
-
Download
- Download the latest
jasprai.zipfile from the official Github release page.
- Download the latest
-
Install:
- Unzip
jasprai.zip. - Open
chrome://extensions/in Chrome - Enable
Developer mode(top right) - Click
Load unpacked(top left) - Select the unzipped
jaspraifolder.
- Unzip
-
Configure Agent Models
- Click the JasprAi icon in your toolbar to open the sidebar
- Click the
Settingsicon (top right). - Add your LLM API keys.
- Choose which model to use for different agents (Navigator, Planner)
-
Upgrading:
- Download the latest
jasprai.zipfile from the release page. - Unzip and replace your existing JasprAi files with the new ones.
- Go to
chrome://extensions/in Chrome and click the refresh icon on the JasprAi card.
- Download the latest
If you prefer to build JasprAi yourself, follow these steps:
-
Prerequisites:
-
Clone the Repository:
git clone https://github.com/jasprai/jasprai-browser.git cd jasprai-browser -
Install Dependencies:
pnpm install
-
Build the Extension:
pnpm build
-
Load the Extension:
- The built extension will be in the
distdirectory - Follow the installation steps from the Manually Install section to load the extension into your browser
- The built extension will be in the
-
Development Mode (optional):
pnpm dev
JasprAi allows you to configure different LLM models for each agent to balance performance and cost. Here are recommended configurations:
- Planner: Claude Sonnet 4
- Better reasoning and planning capabilities
- Navigator: Claude Haiku 3.5
- Efficient for web navigation tasks
- Good balance of performance and cost
- Planner: Claude Haiku or GPT-4o
- Reasonable performance at lower cost
- May require more iterations for complex tasks
- Navigator: Gemini 2.5 Flash or GPT-4o-mini
- Lightweight and cost-efficient
- Suitable for basic navigation tasks
-
Setup Options:
- Use Ollama or other custom OpenAI-compatible providers to run models locally
- Zero API costs and complete privacy with no data leaving your machine
-
Recommended Models:
- Qwen3-30B-A3B-Instruct-2507
- Falcon3 10B
- Qwen 2.5 Coder 14B
- Mistral Small 24B
- Latest test results from community
-
Prompt Engineering:
- Local models require more specific and cleaner prompts
- Avoid high-level, ambiguous commands
- Break complex tasks into clear, detailed steps
- Provide explicit context and constraints
Note: The cost-effective configuration may produce less stable outputs and require more iterations for complex tasks.
Here are some powerful tasks you can accomplish with just a sentence:
-
News Summary:
"Go to TechCrunch and extract top 10 headlines from the last 24 hours"
-
GitHub Research:
"Look for the trending Python repositories on GitHub with most stars"
-
Shopping Research:
"Find a portable Bluetooth speaker on Amazon with a water-resistant design, under $50. It should have a minimum battery life of 10 hours"
We're actively developing JasprAi with exciting features on the horizon, welcome to join us!
Check out our detailed roadmap and upcoming features in our GitHub Discussions.
We need your help to make JasprAi even better! Contributions of all kinds are welcome:
- Share Prompts & Use Cases
- share how you're using JasprAi. Help us build a library of useful prompts and real-world use cases.
- Provide Feedback
- Contribute Code
- Check out our CONTRIBUTING.md for guidelines on how to contribute code to the project.
- Submit pull requests for bug fixes, features, or documentation improvements.
We believe in the power of open source and community collaboration. Join us in building the future of web automation!
If you discover a security vulnerability, please DO NOT disclose it publicly through issues, pull requests, or discussions.
Instead, please create a GitHub Security Advisory to report the vulnerability responsibly. This allows us to address the issue before it's publicly disclosed.
We appreciate your help in keeping JasprAi and its users safe!
Join our growing community of developers and users:
- Twitter - Follow for updates and announcements
- GitHub Discussions - Share ideas and ask questions
JasprAi builds on top of other awesome open-source projects:
Huge thanks to their creators and contributors!
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Made by the JasprAi Team.
We explicitly DO NOT endorse, support, or participate in any projects involving cryptocurrencies, tokens, NFTs, or other blockchain-related applications based on this codebase.
Any such derivative projects are NOT Affiliated with, or maintained by, or in any way connected to the official JasprAi project or its core team.
We assume NO LIABILITY for any losses, damages, or issues arising from the use of third-party derivative projects. Users interact with these projects at their own risk.
We reserve the right to publicly distance ourselves from any misuse or misleading use of our name, codebase, or brand.
We encourage open-source innovation but urge our community to be discerning and cautious. Please ensure you understand the risks before using any software or service built upon our codebase by independent developers.