anthropic-api

The ultimate CC proxy

Googles NotebookLM but local

Abbey is a self-hosted configurable AI interface with workspaces, document chats, YouTube chats, and more. Find our hosted version at https://abbey.us.ai.

The .NET library to build AI systems with 100+ LLM APIs: Anthropic, Azure, Cohere, DeepInfra, DeepSeek, Google, Groq, Mistral, MoonshotAI, Ollama, OpenAI, OpenRouter, Perplexity, vLLM, Voyage, xAI, and many more!

Scala client for OpenAI API and other major LLM providers

ThunderAI is a Thunderbird Addon that uses the capabilities of ChatGPT, Gemini, Anthropic or Ollama to enhance email management.

is a local reverse proxy providing unified access to multiple AI providers (Claude, Codex) through a single interface, using your existing subscriptions without API key billing.

Humbug: building an operating system for human-AI collaboration

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

The Anthropic API wrapper for Delphi leverages cutting-edge models, including Anthropic's advanced Claude series, to deliver powerful features for chat interactions, vision processing, caching, and efficient batch processing.

A native Android app created with React Native on the Expo framework. Chat with assistants from OpenAI, Anthropic and Mistral.

Use AI to do anything with the selected text!

Client for the Claude AI models via the Anthropic API

Token counter for Anthropic

Large Language Model API interface

An OpenAI/Gemini/Anthropic API helper in C

🎓 Official Anthropic Learn certifications showcasing expertise in Claude AI, API development, Claude Code CLI, and Model Context Protocol. Verified achievements from Anthropic's Skilljar platform documenting the journey from AI fundamentals to advanced MCP implementations. Each certificate is independently verifiable through unique

Interact with Local and Comercial LLMs via Streamlit UI

Chat With Documents is a Streamlit application designed to facilitate interactive, context-aware conversations with large language models (LLMs) by leveraging Retrieval-Augmented Generation (RAG). Users can upload documents or provide URLs, and the app indexes the content using a vector store called Chroma to supply relevant context during chats.

Enhance the LinkedIn user experience with AI