Botpress is an open-source project for building and deploying GPT/LLM agents. The repository hosts public integrations on the Botpress Hub, dev tools including a CLI, SDK and API client, example bots written with the SDK and CLI, and plugins for Botpress Studio listed as coming soon. It is released under the MIT license.
LocalAI is described as an open source AI engine that runs models, including LLMs, vision, voice, image and video, on any hardware without a GPU. It presents itself as a drop-in replacement for most upstream APIs and includes a built-in agent platform powered by LocalAGI, whose agents can reason, use tools and maintain memory. Image generation with Stable diffusion on CPU is also supported.
Leon is an open-source personal assistant that can run on a user's server. It is built on Node.js, Python and artificial intelligence concepts, and responds to requests. It uses a modular architecture for creating or using skills, and supports several cloud and offline text-to-speech and speech-to-text solutions.
Miku.gg is an open source chatbot platform for running bots. Users can download the source code and run their own chatbots or use the live demo. It works with any OpenAI-like APIs and currently supports Aphrodite, TextGen WebUI and Tabby. Bots can show emotion through images and use TTS, with Azure TTS, NovelAI and ElevenLabs supported. A bot directory allows sharing, downloading or trying bots without local installation.
Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Its code, weights and an online demo are publicly available for non-commercial use, and training cost around $300. The team reports a preliminary GPT-4-judged evaluation, described as non-scientific, showing more than 90% quality of ChatGPT and Bard.
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Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
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LocalAI is described as an open source AI engine that runs models, including LLMs, vision, voice, image and video, on any hardware without a GPU. It presents itself as a drop-in replacement for most upstream APIs and includes a built-in agent platform powered by LocalAGI, whose agents can reason, use tools and maintain memory. Image generation with Stable diffusion on CPU is also supported.
Leon is an open-source personal assistant that can run on a user's server. It is built on Node.js, Python and artificial intelligence concepts, and responds to requests. It uses a modular architecture for creating or using skills, and supports several cloud and offline text-to-speech and speech-to-text solutions.
Miku.gg is an open source chatbot platform for running bots. Users can download the source code and run their own chatbots or use the live demo. It works with any OpenAI-like APIs and currently supports Aphrodite, TextGen WebUI and Tabby. Bots can show emotion through images and use TTS, with Azure TTS, NovelAI and ElevenLabs supported. A bot directory allows sharing, downloading or trying bots without local installation.
Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Its code, weights and an online demo are publicly available for non-commercial use, and training cost around $300. The team reports a preliminary GPT-4-judged evaluation, described as non-scientific, showing more than 90% quality of ChatGPT and Bard.
Jan is an open-source alternative to ChatGPT. It runs open-source AI models locally or connects to cloud models such as GPT and Claude. The download is offered for Mac. A memory feature is listed as coming soon.
Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
