An open-source AI agent that brings the power of Gemini directly into your terminal.

Open source software that helps you create and deploy high-frequency crypto trading bots

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, Kimi, and more!

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

An open protocol enabling communication and interoperability between opaque agentic applications.

Quants Lab is a Python project for quantitative research with Hummingbot. It provides functionalities for fetching historical data, calculating metrics, backtest and generating trading configurations.

npm package for sending cross-chain swap transactions

Backend API to orchestrate multiple bots

MCP Toolbox for Databases is an open source MCP server for databases.

Client libraries for managing EVM and Solana wallets while relying on CDP to secure private keys.

GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

A One-File Nodejs Server Status Monitoring Tool.

Server for defillama

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A small Java 8 library (string manipulation, BiStream, Structured Concurrency, SQL Templates)

A collection of sample agents built with Agent Development (ADK)

A GraphQL to Cypher query execution layer for Neo4j and JavaScript GraphQL implementations.

Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.

Testcontainers is a NodeJS library that supports tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.

ClickHouse® is a real-time analytics database management system

The MongoDB Documentation Project Source.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…

🦜🔗 Build context-aware reasoning applications