CoexistAI
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.
How to use
CoexistAI is a modular research assistant framework designed for developers who want to streamline their research workflows. With the ability to build, search, summarize, and automate processes using large language models (LLMs), web search, and popular platforms like Reddit and YouTube, CoexistAI offers a flexible and powerful solution for handling diverse research tasks efficiently.
Once connected to the CoexistAI server, you can interact with it using simple MCP tool calls, API calls, or Python functions to execute various research tasks. You can issue commands to search for information, summarize content from web sources, or even automate complex workflows by integrating multiple tools. For optimal results, consider structuring your queries to be clear and specific, such as asking for summaries of specific topics or searching for relevant discussions on platforms like Reddit.
How to install
To get started with CoexistAI, ensure you have the following prerequisites installed:
- Node.js (version 14 or later)
- Python (version 3.7 or later)
Option A: Quick start with npx
If you prefer a quick start, you can use the following command:
npx -y @SPThole/CoexistAI
Option B: Global install alternative
Alternatively, you can install CoexistAI globally using npm:
npm install -g @SPThole/CoexistAI
Once installed, you can begin using CoexistAI in your development environment.
Additional notes
For optimal performance, consider setting environment variables to customize your CoexistAI experience, such as API keys for web searches or LLM access. Keep in mind that while CoexistAI integrates various platforms, network connectivity issues may affect the performance of web searches and external tool calls. It’s advisable to check your internet connection and API limits when experiencing delays.
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