Showing 4 open source projects for "ai coding"

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    AI Chatbot Framework

    AI Chatbot Framework

    Python chatbot framework with Natural Language Understanding

    Building a chatbot can sound daunting, but it’s totally doable. AI Chatbot Framework is an AI powered conversational dialog interface built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI makes it effortless to create and train conversations to the bot and it continuously gets smarter as it learns from conversations it has with people.
    Downloads: 2 This Week
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  • 2
    Buzz

    Buzz

    A hive mind communication platform

    ...YAML workflows can respond to messages, reactions, schedules, and webhooks while preserving execution traces. Buzz provides a Tauri desktop client, browser access, a JSON-oriented CLI, MCP support, and ACP integrations for popular coding agents. Teams can run their own relay and keep the workspace, history, automation, and repositories under their control.
    Downloads: 11 This Week
    Last Update:
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  • 3
    Claude-to-IM Skill

    Claude-to-IM Skill

    Bridge Claude Code / Codex to IM platforms

    Claude-to-IM Skill is a lightweight bridge that connects Claude Code or Codex sessions to instant messaging platforms. It runs a Node.js background daemon that forwards messages from chat apps to an AI coding agent. Responses, tool requests, permission prompts, and streaming previews are sent back into the same chat interface. The project supports Telegram, Discord, Feishu/Lark, QQ, and WeChat, making remote coding-agent access possible from common communication tools. It includes an interactive setup wizard that helps users configure bot tokens, defaults, runtime selection, and validation. ...
    Downloads: 0 This Week
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  • 4
    Danghuangshang

    Danghuangshang

    AI Court Building Complete Tutorial - From Zero Basics to Advanced

    Danghuangshang is a ready-to-use multi-agent collaboration system built around OpenClaw. It uses an imperial court metaphor where the user acts as the ruler and specialized AI agents act as ministers, reviewers, operators, and coordinators. The project supports several organizational modes, including a Ming-style cabinet, a Tang-style review workflow, and a modern executive-team structure. Agents can be assigned responsibilities such as coding, architecture, finance, operations, marketing, project management, legal review, and automated code inspection. ...
    Downloads: 0 This Week
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