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Ollama Reply
ollama-reply
O
Ollama Reply
AI social media assistantAI conversational AI agent#Browser extension#AI#Social media#AutomationStandard PicksOpen Source
Overview :
Ollama-reply is an open-source browser extension that leverages the robust capabilities of the Ollama Llama3 model to generate engaging social media responses, aiming to foster users' social growth. This tool is designed as a free and open-source alternative to MagicReply. It is not only free to use but also highly customizable, capable of adapting to any Ollama model and tailoring response content to user needs.
Target Users :
["Social media users: Need to generate engaging responses to enhance interaction and粉丝 following.","Content creators: Hope to automate social media interactions and save time.","Marketers: Use automated responses to boost brand activity on social media."]
Total Visits： 492.1M
Top Region： US(19.34%)
Website Views ： 67.3K
Use Cases
After a user posts content on Twitter, use ollama-reply to generate responses, increasing interaction.
Content creators publish professional articles on LinkedIn, using the extension to generate professional responses to enhance their image.
Marketing teams configure personalized response templates for brand accounts, automating customer interactions through the extension.
Features
Open-source: Users can freely modify and distribute the code.
Powerful AI: Utilizes the Ollama Llama3 model to generate responses.
Browser extension: Directly usable in Chromium-based browsers.
Customizable: Can be configured to use any Ollama model to meet answer requirements.
Free: Downloading and using the extension costs nothing.
How to Use
1. Ensure you have a Chromium-based browser and have installed Ollama.
2. Use the command `ollama pull llama3:8b` to download the Llama3 model.
3. Set the environment variable `OLLAMA_ORIGINS=*` and start the Ollama server.
4. Download the ollama-reply repository from GitHub and extract it to a specified location on your computer.
5. Open `chrome://extensions/` in the Chromium browser, enable developer mode.
6. Click 'Load unpacked extension', select the extracted dist folder from the repository.
7. After installation, browse to any post on Twitter or LinkedIn, click the 'Generate Response' button to use the Llama3 model to generate responses.
8. Configure the model and prompts as needed, change the variables in the file `src/entries/background/main.ts`, and rebuild the extension.
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