Categories / AI Assistants

Open Source AI Assistants Apps

Discover powerful iopen source AI Assistant apps on Open Apps! Automate tasks, provide instant support & enhance productivity with conversational AI.

51 apps available

Apps in AI Assistants

TypeScript
96%
Other

Dyad

AI Assistants · AI Code Assistants · AI Development

21,538

Build AI-powered apps locally with your own keys, your own models, and zero cloud lock-in.

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88
Repo Health
83
Technical
69
Dependency
Built with
TypeScript 96%
Updated 1 weeks ago
MIT

OpenClaw

AI Agents · AI Assistants

389,987

An open-source AI assistant that runs on your own hardware and meets you in Discord, Slack, WhatsApp, iMessage, Telegram, and 20+ other channels, with native apps for every major platform.

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88
Repo Health
88
Technical
0
Dependency
Python
68%
Apache 2.0

SurfSense

AI Assistants · Search

16,145

The open-source, unlimited NotebookLM alternative with real-time collaboration, a desktop app, and no vendor lock-in.

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88
Repo Health
71
Technical
66
Dependency
Built with
Python 68%
TypeScript 29%
Updated 1 weeks ago
TypeScript
46%
AGPL 3.0

BrowserOS

AI Assistants · Browser

13,670

The open-source agentic Chromium browser with native AI agents, MCP server, and visual workflow automation — your data never leaves your machine.

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87
Repo Health
82
Technical
68
Dependency
Built with
TypeScript 46%
Rust 22%
Python 18%
Updated 1 weeks ago
Go
98%
Other

Crush

AI Assistants · AI Code Assistants · Developer Tools

28,089

Your terminal coding companion — wire up any LLM with LSP intelligence, MCP extensibility, and a skills system that learns your workflow.

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87
Repo Health
86
Technical
68
Dependency
Built with
Go 98%
Updated 1 weeks ago
Rust
48%
MIT

Meetily

AI Assistants · Productivity

30,768

Privacy-first AI meeting assistant that transcribes and summarizes your meetings entirely on your local machine — no cloud, no data leakage.

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87
Repo Health
72
Technical
67
Dependency
Built with
Rust 48%
TypeScript 29%
Updated 1 weeks ago
TypeScript
88%
GPL 3.0

NoteGen

AI Assistants · Knowledge Management · Note Taking

12,804

Capture anything first, then let AI transform your scattered records into polished, structured Markdown notes with RAG-powered knowledge retrieval.

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87
Repo Health
74
Technical
67
Dependency
Built with
TypeScript 88%
Updated 1 weeks ago
JavaScript
62%
MIT

OpenWhispr

AI Assistants · Productivity

8,193

Privacy-first, cross-platform voice-to-text with local AI and cloud options

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87
Repo Health
80
Technical
72
Dependency
Built with
JavaScript 62%
TypeScript 34%
Updated 1 weeks ago
TypeScript
53%
MIT

Anarlog

AI Assistants · Note Taking · Productivity

9,307

Anarlog is an open-source, local-first AI meeting notetaker that records, transcribes, and summarizes meetings entirely on your device — no cloud lock-in, no mandatory account, and every note saved as a plain markdown file you own forever.

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86
Repo Health
77
Technical
68
Dependency
Built with
TypeScript 53%
Rust 35%
Updated 1 weeks ago
Go
57%
Other

Multica

AI Assistants · AI Development

49,852

Turn coding agents into real teammates — assign issues, track progress, and compound reusable skills across a vendor-neutral, self-hosted platform.

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86
Repo Health
83
Technical
67
Dependency
Built with
Go 57%
TypeScript 38%
Updated 1 weeks ago
TypeScript
89%
MIT

openwork

AI Assistants · Automation

23,542

OpenWork is a free, open-source desktop app for running AI agent workflows on your own files with 50+ LLMs, extensible skills, and MCP server support — the open-source alternative to Claude Cowork and Codex.

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86
Repo Health
89
Technical
68
Dependency
Built with
TypeScript 89%
Updated 1 weeks ago
Elixir
58%
Other

Operately

AI Assistants · Collaboration · Productivity

552

The open source company operating system that unifies OKRs, projects, and team execution with built-in accountability cadences.

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86
Repo Health
80
Technical
73
Dependency
Built with
Elixir 58%
TypeScript 41%
Updated 1 weeks ago
TypeScript
98%
Apache 2.0

letta-code

AI Assistants · AI Code Assistants

3,341

A memory-first coding agent harness that learns from experience, maintains identity across models, and works across Claude, GPT, Gemini, and dozens more LLMs.

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85
Repo Health
84
Technical
74
Dependency
Built with
TypeScript 98%
Updated 1 weeks ago
TypeScript
98%
Apache 2.0

rowboat

AI Assistants · AI Development

17,561

Build, test, and deploy multi-agent AI workflows with a visual editor, RAG data sources, MCP tool integration, and a production-ready REST API.

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85
Repo Health
72
Technical
65
Dependency
Built with
TypeScript 98%
Updated 1 weeks ago
C#
98%
Other

Everywhere

AI Assistants · Automation · Productivity

6,284

On-screen aware AI assistant that acts across your apps without disrupting your flow.

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84
Repo Health
79
Technical
0
Dependency
Built with
C# 98%
Updated 1 weeks ago

About AI Assistants

AI Assistants, also known as virtual assistants or chatbots, represent a rapidly evolving category of software powered by Artificial Intelligence (AI) and Natural Language Processing (NLP). These applications go beyond simple rule-based responses; they understand user intent, learn from interactions, and intelligently automate a wide range of tasks. They enable seamless communication with users through text or voice interfaces, offering personalized support and efficient problem-solving. Modern AI Assistants often utilize Large Language Models (LLMs) like GPT to deliver sophisticated and context-aware responses.

This category encompasses a diverse set of applications including customer support chatbots, personal productivity tools (scheduling, email management), code generation assistants (e.g., helping developers write and debug code), content creation tools (drafting articles, summarizing text), and even specialized assistants for fields like healthcare or finance. You’ll also find apps that integrate with existing workflows via APIs to automate repetitive tasks. Examples include AI-powered Slack bots, virtual receptionists for websites, and assistants that help analyze data to provide actionable insights.

AI Assistants matter because they dramatically improve efficiency, reduce costs, and enhance user experiences. For developers, building AI Assistants allows for the creation of highly valuable applications that solve real-world problems. Users benefit from 24/7 availability, instant support, and personalized automation, freeing up their time for more critical tasks. The ability to automate customer service, streamline workflows, and gain deeper insights from data are key value propositions driving the growing demand for AI Assistants. The future of work and user interaction is increasingly conversational, making expertise in this category highly sought after.

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