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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
The Ruby AI framework.
The foundation layer for agentic intelligence.
The .NET library to build AI agents with 30+ built-in connectors.
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.