Open Source AI Development Apps

Discover the best open source AI Development tools to build intelligent applications. From ML frameworks to data labeling, and unlock the power of AI.

98 apps available

Apps in AI Development

Rust
60%
Apache 2.0

Magnitude

AI Development · Developer Tools

7,313

An open source inference engine that profiles your hardware, recommends the best local models, and tunes them for the coding agent you already use.

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79
Repo Health
83
Technical
71
Dependency
Built with
Rust 60%
TypeScript 25%
Updated today
TypeScript
95%
Apache 2.0

NemoClaw

AI Agents · AI Development

22,823

Run AI coding agents like OpenClaw and Hermes securely inside NVIDIA OpenShell sandboxes with a hardened blueprint, routed inference, and lifecycle management through a single CLI.

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79
Repo Health
87
Technical
71
Dependency
Built with
TypeScript 95%
Updated today
TypeScript
98%
Other

Hexabot

AI Development · Automation

1,160

Build and run agentic workflows across channels with YAML, tools, and RAG

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76
Repo Health
76
Technical
65
Dependency
Built with
TypeScript 98%
Updated 1 months ago
Python
73%
Apache 2.0

timesfm

AI Development · Analytics

34,750

A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.

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76
Repo Health
81
Technical
71
Dependency
Built with
Python 73%
HTML 14%
Jupyter Notebook 12%
Updated 3 weeks ago
TypeScript
62%
Other

Flowise

AI Development · Automation · Developer Tools

55,521

Drag-and-drop visual builder for AI agents, RAG pipelines, and multi-agent systems—deploy anywhere in minutes.

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75
Repo Health
77
Technical
63
Dependency
Built with
TypeScript 62%
JavaScript 27%
Updated 2 months ago
Python
84%
Other

fish-speech

AI Development · Developer Tools · Music Audio

33,377

SOTA open-source dual-autoregressive text-to-speech model with rapid voice cloning, inline emotion tags, and real-time streaming inference across 80+ languages.

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74
Repo Health
71
Technical
72
Dependency
Built with
Python 84%
TypeScript 12%
Updated 1 weeks ago
TypeScript
91%
Apache 2.0

Helicone

AI Development · Analytics · Monitoring

6,235

An open-source AI gateway and LLM observability platform that routes requests to 100+ models while logging cost, latency, and full traces for every call.

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74
Repo Health
81
Technical
65
Dependency
Built with
TypeScript 91%
Updated today
TypeScript
91%
MIT

GitDiagram

AI Development · Developer Tools

18,422

Turn any GitHub repository into an interactive architecture diagram in seconds

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72
Repo Health
79
Technical
75
Dependency
Built with
TypeScript 91%
Updated yesterday
Java
76%
Apache 2.0

Nubase

AI Development · Low Code Platforms

621

Turn AI-written code into real apps — an open-source, self-hostable backend with Database, Auth, Storage, Memory, Functions, Assets, AI Gateway, and cron built for AI coding agents.

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70
Repo Health
76
Technical
73
Dependency
Built with
Java 76%
TypeScript 21%
Updated 3 weeks ago
PHP
60%
AGPL 3.0

Hyvor Relay

AI Development · Devops · Monitoring

918

Self-hosted, open-source email API that automates DNS, manages SMTP delivery, and provides deep observability — replacing SES, Mailgun, and SendGrid with infrastructure you fully own.

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69
Repo Health
79
Technical
71
Dependency
Built with
PHP 60%
Svelte 22%
Go 16%
Updated 3 days ago
Python
62%
MIT

AutoGen

AI Development · Automation

61,546

Build autonomous and human-in-the-loop multi-agent AI systems with a layered, event-driven Python and .NET framework pioneered at Microsoft Research.

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68
Repo Health
78
Technical
71
Dependency
Built with
Python 62%
C# 25%
TypeScript 12%
Updated 1 weeks ago
TypeScript
96%
Other

Refly

AI Development · Automation · No Code Platforms

7,537

Build deterministic, versioned agent skills from natural language—run them anywhere from Claude Code to Slack.

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68
Repo Health
76
Technical
63
Dependency
Built with
TypeScript 96%
Updated 3 days ago
TypeScript
84%
Apache 2.0

Continue

AI Code Assistants · AI Development · Automation

36,303

Open-source coding agent for VS Code, JetBrains, and CLI with support for 30+ LLM providers.

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66
Repo Health
88
Technical
62
Dependency
Built with
TypeScript 84%
Updated 2 days ago
TypeScript
100%
MIT

Llama Coder

AI Development · Low Code Platforms

7,140

Generate multi-file web apps from a single prompt using open-source LLMs — an open-source alternative to Claude Artifacts.

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66
Repo Health
66
Technical
69
Dependency
Built with
TypeScript 100%
Updated 2 days ago
Python
59%
Apache 2.0

argilla

AI Development · Data Engineering

5,175

Collaborate on high-quality AI training data with a self-hosted annotation platform built for LLMs, NLP, and multimodal models.

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65
Repo Health
81
Technical
61
Dependency
Built with
Python 59%
Jupyter Notebook 21%
Updated 5 days ago

About AI Development

Build the Future with AI Development Tools

The AI Development category is focused on enabling developers to create applications with intelligent capabilities. This goes beyond simply using pre-built AI APIs; it’s about the entire lifecycle of machine learning (ML) – from data preparation and model training to deployment, monitoring, and continuous improvement. Whether you’re a seasoned data scientist or just starting to explore the world of AI, these tools provide the building blocks for innovative solutions. Core concepts include deep learning, natural language processing (NLP), computer vision, and predictive analytics.

This category includes a diverse range of app types. You’ll find MLOps platforms for tracking experiments and managing model versions, data labeling tools to prepare training datasets, model serving frameworks for deploying models at scale, and AI-powered code assistants that streamline development workflows. Furthermore, specialized libraries for specific AI tasks (e.g., PyTorch for deep learning, spaCy for NLP) are often found here.

The value of AI Development lies in its ability to solve complex problems across many industries. Predictive maintenance in manufacturing, fraud detection in finance, personalized recommendations in e-commerce, and image recognition for autonomous vehicles are just a few examples. By automating tasks, gaining insights from data, and creating more intuitive user experiences, AI Development tools empower businesses to gain a competitive edge. Investing in this category means embracing the future of software and unlocking unprecedented possibilities.

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