Categories / AI Development

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

Python
57%
Apache 2.0

MLflow

AI Development · Monitoring

27,953

The open source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLMs and agents at scale.

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97
Repo Health
86
Technical
67
Dependency
Built with
Python 57%
TypeScript 34%
Updated 1 weeks ago
Go
95%
Apache 2.0

TiDB

AI Development · Databases

40,528

AI-Native Distributed SQL Database for Agentic Workloads

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97
Repo Health
66
Technical
68
Dependency
Built with
Go 95%
Updated 1 weeks ago
TypeScript
100%
MIT

Botpress

AI Assistants · AI Development · Customer Support

14,916

The open-source hub for building and deploying LLM-powered AI agents with TypeScript-first tooling, 40+ integrations, and a revolutionary code-execution agent framework.

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95
Repo Health
82
Technical
64
Dependency
Built with
TypeScript 100%
Updated 1 weeks ago
TypeScript
65%
Other

Typebot

AI Assistants · AI Development · Developer Tools

10,324

Build sophisticated chatbots visually, embed them anywhere without iframes, and own your data — fully self-hostable with a modular block system and 30+ integrations.

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94
Repo Health
82
Technical
65
Dependency
Built with
TypeScript 65%
MDX 34%
Updated 1 weeks ago
Python
100%
Apache 2.0

Agno

AI Development · Automation · Devops

42,173

Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.

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93
Repo Health
87
Technical
66
Dependency
Built with
Python 100%
Updated 1 weeks ago
TypeScript
90%
Other

FastGPT

AI Agents · AI Development

29,645

Build, debug, and deploy knowledge-based AI agents with a visual workflow editor, RAG retrieval, and support for any OpenAI-compatible LLM.

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93
Repo Health
84
Technical
66
Dependency
Built with
TypeScript 90%
Updated 1 weeks ago
TypeScript
38%
Apache 2.0

Label Studio

AI Development · Data Engineering

28,264

Label Studio is an open-source, multi-type data labeling platform that lets teams annotate images, text, audio, video, and time series data with a configurable XML-based UI and export annotations in formats ready for any ML framework.

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93
Repo Health
87
Technical
67
Dependency
Built with
TypeScript 38%
JavaScript 27%
Python 25%
Updated 1 weeks ago
Apache 2.0

OpenMetadata

AI Development · Analytics · Data Engineering

15,239

Open-source metadata platform that unifies data catalog, lineage, quality, and governance into a single searchable graph, with an MCP server that gives AI agents governed access to that context.

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93
Repo Health
85
Technical
0
Dependency
Python
100%
GPL 3.0

ComfyUI

AI Design Tools · AI Development

133,177

The most powerful node-based AI workflow engine for creating images, video, 3D models, and audio with full control over every generation step.

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92
Repo Health
81
Technical
75
Dependency
Built with
Python 100%
Updated 1 weeks ago
TypeScript
50%
Other

Dify

AI Development · Design Tools · Developer Tools

155,738

Visual LLM workflow platform with RAG pipelines, agent capabilities, and model management for building production AI applications.

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92
Repo Health
85
Technical
67
Dependency
Built with
TypeScript 50%
Python 46%
Updated 1 weeks ago
TypeScript
98%
Other

Langfuse

AI Development · Monitoring

34,609

Open source AI engineering platform for LLM observability, prompt management, evaluation, and debugging — self-host in minutes or use Langfuse Cloud.

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92
Repo Health
81
Technical
65
Dependency
Built with
TypeScript 98%
Updated 1 weeks ago
Python
84%
MIT

LiteLLM

AI Development · Developer Tools

58,741

Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.

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92
Repo Health
81
Technical
69
Dependency
Built with
Python 84%
TypeScript 13%
Updated 1 weeks ago
Python
45%
GPL 3.0

MaxKB

AI Development · Knowledge Management

22,791

Build enterprise-grade AI agents with RAG, workflows & multi-modal support

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92
Repo Health
68
Technical
66
Dependency
Built with
Python 45%
Vue 37%
TypeScript 17%
Updated 1 weeks ago
TypeScript
40%
MIT

MentraOS

AI Development · Developer Tools

2,347

The open source operating system and SDK that lets developers build one app and run it across smart glasses from Even Realities, Vuzix, Mentra Live, and more.

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92
Repo Health
77
Technical
66
Dependency
Built with
TypeScript 40%
Java 23%
Kotlin 13%
Updated 1 weeks ago
Rust
90%
Apache 2.0

Qdrant

AI Development · Databases · Search

34,564

Open-source vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

View details
92
Repo Health
87
Technical
65
Dependency
Built with
Rust 90%
Updated 1 weeks 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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