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Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
The main features of gluonfield/enchanted are: Native Apple Chat Clients, Private LLM Chat Interfaces, Ollama Chat Clients, Conversation History Management, Dialogue Context Management, Self-Hosted LLM Frontends, Local-First Storage, Ollama API Clients.
Open-source alternatives to gluonfield/enchanted include: augustdev/enchanted — Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on… enricoros/big-agi — big-AGI is a self-hosted AI frontend and multi-model client that provides a unified workspace for interacting with… strands-agents/sdk-python — This is an open-source Python SDK for building and orchestrating production-grade AI agents. It provides a unified… idootop/mi-gpt — mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It… dnhkng/glados — GLaDOS is a multimodal AI agent framework designed to create autonomous systems that process text, speech, and visual… tiddlywiki/tiddlywiki5 — TiddlyWiki5 is a modular wiki engine and non-linear knowledge base that organizes information into small, linked…
Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on iOS and macOS. It serves as a native client for communicating with private model servers, specifically providing integration for the Ollama API. The application supports multimodal interactions, allowing users to combine text, image attachments, and voice prompts. It provides tools for local AI model management, including the ability to define persistent system prompts and switch between different models for specific tasks. The interface includes capabilities for rendering m
big-AGI is a self-hosted AI frontend and multi-model client that provides a unified workspace for interacting with various large language models. It functions as an orchestration dashboard, allowing users to connect to cloud-based AI providers, aggregator services, and locally hosted model servers. The project is distinguished by its ability to execute prompts across multiple models simultaneously for side-by-side comparison and response synthesis. It enables the merging of outputs from different models to reduce hallucinations and improve accuracy, while using persona-based configuration map
This is an open-source Python SDK for building and orchestrating production-grade AI agents. It provides a unified framework for creating conversational agents that can use tools, maintain state, and coordinate across multiple language model providers including OpenAI, Anthropic, Google, Amazon Bedrock, and locally-hosted models. The SDK supports multi-agent orchestration through graphs, teams, and swarms, allowing several specialized agents to collaborate on complex tasks. Agents can be composed as callable tools that other agents invoke, and the framework includes policy handlers that inspe
mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It functions as an integration layer that routes audio requests from hardware speakers to AI providers and converts generated text back into speech via a customizable synthesis system. The project features a retrieval-augmented generation knowledge base that uses embeddings and external documents to provide context-aware responses. It includes a persona definition system for configuring behavioral rules, system prompts, and roleplay characteristics, alongside a plugin architecture