Our footprint in Opensource
Our open source platform where we share all our open source projects, AI models, datasets, tools, and more. We encourage developers to contribute to our open source projects and help us build better products using AI.
Our Open Source Projects
Explore our collection of open source tools, frameworks, and libraries that power our AI-first solutions.
AgentFlow
An open source framework for building intelligent agents and orchestrating multi-agent workflows. It's an LLM-agnostic orchestration tool that works with any LLM provider (LiteLLM, OpenAI, Gemini, Claude, native SDKs).
Key Features
- •LLM-agnostic orchestration
- •Easy-to-use APIs for agent management
- •Complex agent systems with flexible orchestration patterns
- •Structured responses with content/thinking/usage
- •Real-time streaming support
- •Native tool integration (MCP, Composio, LangChain)
- •Production-ready features (event publishing, metrics, observability)
InjectQ
An open source Dependency Injection Library for Python, focused on clarity, type-safety, and seamless framework integration.
Key Features
- •Simplicity-first dict-like API
- •Flexible decorator- and type-based injection (@inject, Inject[T])
- •Type-friendly design working with static type checkers
- •Built-in integrations for frameworks (FastAPI, Taskiq)
- •Factory and async factory support
- •Hybrid factory methods combining DI with manual arguments
- •Scope management and testing utilities
SnowFlakeKit
An open source Python library for generating unique, distributed IDs using a modified Snowflake algorithm.
Key Features
- •Asynchronous ID generation for high-throughput applications
- •Customizable bit allocation
- •Base62 encoding/decoding for compact, URL-friendly formats
- •Extractable components (timestamp, node ID, worker ID, sequence number)
- •Simple to use, highly customizable, and efficient
React Style Guide
A comprehensive open source guide for building scalable React applications with modern patterns, performance optimization, and best practices.
Key Features
- •JavaScript patterns guide
- •React 19+ component architecture
- •SOLID principles
- •Custom hooks patterns
- •File organization best practices
- •ESLint configuration
- •Testing with Vitest
- •Performance optimization strategies
- •Migration paths
- •Published ESLint configuration package (@10xscale/eslint-modern)
Ready to Contribute?
Join our community of developers and help us build better AI-powered tools. Your contributions make a difference! We have more projects that you can explore on our GitHub.
Explore 10XHub on GitHub