DeepChat - AI Chat Interfaces Tool

Overview

DeepChat is an open-source AI chat platform that provides a unified web interface for interacting with multiple large language models. According to the GitHub repository, DeepChat supports both cloud APIs (for example OpenAI, Google Gemini, Anthropic) and local model backends such as Ollama, enabling teams to compare models, route queries, and run assistants from different providers in one place. The project is released under the Apache-2.0 license and aims to simplify building chat applications that combine cloud-hosted models, on-prem/local models, and auxiliary tooling. DeepChat includes advanced capabilities such as search-enhanced responses and tool-calling (function/tool invocation) to enable richer, application-specific assistants. Typical use cases include prototyping multi-model assistants, building retrieval-augmented workflows (search + LLM), and integrating external tools/APIs for action-oriented chat applications. According to the repository metadata, the project is actively maintained and adopted by a growing open-source community.

GitHub Statistics

• Stars: 5,330
• Forks: 611
• Contributors: 49
• License: Apache-2.0
• Primary Language: TypeScript
• Last Updated: 2026-01-09T07:47:24Z
• Latest Release: v0.5.3

According to the GitHub repository (https://github.com/ThinkInAIXYZ/deepchat), DeepChat has 5,330 stars, 611 forks, and 49 contributors, and is licensed under Apache-2.0. The repository shows recent activity with a last commit on 2026-01-09, indicating ongoing maintenance. The contributor count and star/fork ratio point to a healthy, mid-sized open-source community; frequent commits and issue activity (see repository Issues/PRs) are the best indicators of responsiveness and ecosystem growth.

Installation

Install via npm:

git clone https://github.com/ThinkInAIXYZ/deepchat.git

cd deepchat

npm install

npm run dev

Key Features

• Unified UI to connect and query multiple LLM providers and local models in one interface
• Cloud API integrations: examples include OpenAI, Google Gemini, and Anthropic connectors
• Local model support such as Ollama for on-premises or offline model deployments
• Search-enhanced responses to combine retrieval with generation for more relevant answers
• Tool calling/function invocation to let models trigger external APIs or application tools

Community

Active GitHub community with 5,330 stars, 611 forks, and 49 contributors. Repository shows recent commits (last commit 2026-01-09). Community engagement primarily via issues, pull requests, and the repo's discussion channels.

Key Information

• Category: Chat Interfaces
• Type: AI Chat Interfaces Tool