Search Results for "message"
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Showing 11 open source projects for "message"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Slack MCP Server
The most powerful MCP Slack Server with no permission requirements
...The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. The server supports multiple communication transports, including standard input/output streams, HTTP, and Server-Sent Events, allowing flexible integration with different AI client environments. -
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gptcommit
A git prepare-commit-msg hook for authoring commit messages with GPT-3
...With this tool, you can easily generate clear, comprehensive and descriptive commit messages letting you focus on writing code. To use gptcommit, simply run git commit as you normally would. The hook will automatically generate a commit message for you using a large language model like GPT. If you're not satisfied with the generated message, you can always edit it before committing. By default, gptcommit uses the GPT-3 model. Please ensure you have sufficient credits in your OpenAI account to use it. Commit messages are a key channel for developers to communicate their work with others, especially in code reviews. ... -
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multi-agent-shogun
Samurai-inspired multi-agent system for Claude Code
...The system then automatically distributes work among multiple worker agents, allowing tasks to run simultaneously rather than sequentially. The architecture uses tools such as tmux sessions and file-based message queues to coordinate communication between agents while maintaining parallel execution. Developers can monitor the progress of the agent swarm through dashboards that show the status of tasks and worker activity in real time. -
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WeClone
One-stop solution for creating your digital avatar from chat history
WeClone is an open source AI project designed to replicate a person’s conversational style and personality by training models on chat history data. The system analyzes message patterns, linguistic style, and contextual behavior in order to generate responses that resemble the original user’s communication style. It is intended primarily as an experimental exploration of digital personality modeling and conversational AI personalization. By processing large volumes of conversation data, WeClone can build a profile of an individual’s writing tone, vocabulary preferences, and conversational tendencies. ... -
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Semantic Kernel
Integrate cutting-edge LLM technology quickly and easily into your app
Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI... -
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python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
python-whatsapp-bot is an open-source framework that demonstrates how to build AI-powered WhatsApp bots using pure Python and the official WhatsApp Cloud API. The project provides a practical implementation of a messaging automation system using the Flask web framework to handle webhook events and process incoming messages in real time. Developers can configure the bot to receive user messages through the WhatsApp API, route them through application logic, and generate automated responses... -
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HuixiangDou
Overcoming Group Chat Scenarios with LLM-based Technical Assistance
HuixiangDou is an open-source large language model assistant designed specifically for technical question answering in group chat environments. The project addresses a common problem in developer communities where discussion channels become overwhelmed by repeated or irrelevant questions. To solve this issue, HuixiangDou implements a multi-stage pipeline that analyzes incoming messages, filters irrelevant conversations, and selectively generates responses when the assistant determines it can... -
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NLUX
The powerful Conversational AI JavaScript Library
NLUX, short for Natural Language User Experience, is an open-source JavaScript and React library designed to simplify the creation of conversational interfaces powered by large language models. The library provides developers with prebuilt components and utilities that make it easy to integrate chat-based AI functionality into web applications. By using NLUX, developers can connect their applications to models such as ChatGPT or other LLM providers and create interactive conversational... -
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gptee
LLMs done the UNIX-y way
...You can compose commands and execute them in a script. Proceed with caution before running arbitrary shell scripts. Using a chat completion model (like gpt-3.5-turbo), you can then inject a system message with -s or --system messages. For davinci and other non-chat models, the output is prefixed to the prompt. Compose shell commands like you would in a script. Try with a custom model. By default gptee uses gpt-3.5-turbo. -
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10
Chat with GPT
An open-source ChatGPT app with a voice
...The platform also integrates speech capabilities by connecting to text-to-speech systems and speech recognition engines, enabling voice-based conversations with the AI assistant. Additional features include message editing, response regeneration, and the ability to share conversations through public links. -
11
mindflow
AI-powered CLI git wrapper, boilerplate code generator, chat history
...In order to use GPT 4, you'll need to have special access to the API. If you have access, you can run mf config and select GPT 4. If you don't have access, you'll get an error message. Interact with chatGPT directly just like on the chatGPT website. We also have chat persistence, so it will remember the previous chat messages. You can provide single or multi-file context to chatGPT by passing in any number of files as a separate argument in the mf chat call.
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