Production-ready Python library for multi-provider LLM orchestration
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Updated
Oct 10, 2025 - Python
Production-ready Python library for multi-provider LLM orchestration
🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.
Utilities for working with Claude Code
A conversation management system for Strands Agents that combines summarization with exact message recall using semantic search.
[unstable] Conversational AI project for facilitating conversations using YAML files
Django chatbot system with MySQL, dialogue record management, admin features, and an optional deep learning module.
A Chrome extension that adds a navigation sidebar to AI chat platforms.
Visual workspace for AI conversations. Never lose context. Open-source, self-hostable.
Productivity modules for Claude power users — message navigation, edit history with branch map, bookmarks, and emoji markers.
📥 Download Telegram channel content easily with this cross-platform tool built using Electron and Vue 3, featuring secure login and multi-language support.
A robust, production-ready ChatGPT integration platform built with .NET 8 and modern best practices Features • Architecture • Quick Start • API Documentation
Bookmark, highlight, and organize specific text snippets within ChatGPT conversations. Never lose a golden answer again.
X API engagement automation backend
Web interface for Ollama local AI models with streaming responses, conversation management, model switching, and chat export functionality.
Production-ready conversation management and classification system with Groq API integration. Features intelligent summarization, JSON schema validation, OpenAI function calling, and structured information extraction with 85%+ success rate.
Local-first desktop workspace for capturing and managing conversations across ChatGPT, Claude, DeepSeek, and Gemini.统一捕获多平台对话,构建隐私安全的私有化 AI 知识库。
application designed for efficient client profile management. It features modules for creating, storing, and retrieving client information, parsing and validating data strings, and implementing standardized interfaces to ensure consistent client operations across the application.
Perfect for building chat applications, customer support systems, conversation analytics tools, AI assistant interfaces, and any application requiring structured conversation storage and retrieval.
MedPrompt AI Chatbot is an advanced medical assistant designed to provide information based on medical contexts. It utilizes a Retrieval-Augmented Generation (RAG) approach, leveraging Google's Gemini and Mistral AI models, alongside a FAISS-indexed medical knowledge base for accurate and relevant responses.
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