A terminal-based platform to experiment with the AI Software Engineer. It allows users to specify software in natural language, watch as an AI writes and executes the code, and implement improvements. Supports various models and customization options.
ClickUi is a powerful, open-source, cross-platform AI-assistant application built in Python. It integrates various AI models, speech recognition, and web scraping capabilities, providing both voice and text interaction interfaces. The tool is designed to be a comprehensive AI-computer assistant, supporting features such as voice mode, chat mode, file attachments, property lookups, and web searches. It aims to be user-friendly and adaptable, encouraging community collaboration for future development and improvements.
This folder contains some example client scripts using our Python SDK for connecting with Llama Stack Distros. Instructions are provided for setting up dependencies and running demo scripts and apps.
Simple, unified interface to multiple Generative AI providers, supporting various providers including OpenAI, Anthropic, Azure, Google, AWS, Groq, Mistral, HuggingFace, and Ollama. It aims to facilitate the use of multiple LLMs with a standardized interface similar to OpenAI’s.
A collection of Python examples demonstrating the use of Mistral.rs, a Rust library for working with mistral models.
- Composio: Streamline agent development with tool integrations.
- Julep: Build stateful AI agents with efficient context management.
- E2B: Secure sandbox for AI execution with code interpreter capabilities.
- Camel-ai: Framework for building and studying multi-agent systems.
- CopilotKit: Integrate AI copilot features into React applications.
- Aider: AI-powered pair-programmer for code assistance and repo management.
- Haystack: Composable pipeline framework for RAG applications.
- Pgvectorscale: High-performance vector database extension for PostgreSQL.
- GPTCache: Semantic caching solution for reducing LLM costs.
- Mem0 (EmbedChain): Add persistent memory to LLMs for personalized interactions.
- FastEmbed: Fast and lightweight library for embedding generation.
- Instructor: Streamline LLM output validation and extraction of structured data.
- LiteLLM: Drop-in replacement for OpenAI models, supporting various providers
A Github Gist containing a Python script for text classification using the TxTail API
Automates conversion of various file types and GitHub repositories into LLM-ready Markdown documents.
A mini python based tool designed to convert various types of files and GitHub repositories into LLM-ready Markdown documents with metadata, table of contents, and consistent heading styles. Supports multiple file types, handles zip files, and has GitHub integration.
txtai is an open-source embeddings database for various applications such as semantic search, LLM orchestration, language model workflows, and more. It allows users to perform vector search with SQL, create embeddings for text, audio, images, and video, and run pipelines powered by language models for question-answering, transcription, translation, and more.
