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Streaming-first multi-provider LLM client in TypeScript with home-made tool calling

An extensible framework for building AI agents based on the GAME (Goals, Actions, Memory, Environment) methodology.

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

Seamlessly integrate LLMs as Python functions

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease.

Simple Node.JS based AI agent

CLI and Flask‑based web application that transforms plain‑English prompts into production‑ready, multi‑agent AI workflows. It generates native YAML for IBM WatsonX Orchestrate, Python code for CrewAI, CrewAI Flow, LangGraph, or ReAct, and includes a built‑in FastAPI MCP server wrapper for seamless deployment to the MCP Gateway.

Build and run agents you can see, understand and trust.

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and exposes them through standardized protocols (ACP/OpenCode Server).

Controllable and Transparent LLM Application Framework

From doodle to design: Real-time AI website editing from sketch

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Building stateful, multi-actor applications with LLMs

Observability and DevTool Platform for AI Agents

a simple and powerful tool to get things done with AI

Probabilistic Generative Model Programming

DSPy

The Multi-Agent Framework