Tags: #llm-orchestration

A self-improving AI agent framework that learns from experience, integrates with various LLMs, and operates across multiple platforms, designed for persistent, intelligent automation.

Agno is a comprehensive platform for building, running, and managing scalable agentic software, addressing the unique challenges of AI agent interaction, governance, and trust in production environments.

The ultimate agent harness for orchestrating multiple large language models to automate complex coding tasks and development workflows, promoting an open market approach over vendor lock-in.

An open-source platform for building, deploying, and orchestrating AI agents and agentic workflows with 1,000+ integrations.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, powered by an embeddings database.

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

A production-ready, extensible AI agent framework designed for building, deploying, and understanding intelligent agents powered by advanced LLMs, with built-in finetuning and multi-agent orchestration.

An enterprise-ready, model-agnostic SDK for building and orchestrating intelligent AI agents and multi-agent systems with cutting-edge LLM technology.

Nexent is a zero-code platform for auto-generating production-grade AI agents, unifying tools, skills, memory, and orchestration with built-in controls.

A low-code platform for visually building and deploying custom AI agents and LLM applications.

BAML is an AI framework that transforms prompt engineering into schema engineering, enabling developers to build reliable, type-safe AI workflows and agents across multiple programming languages.

A cutting-edge framework for building fast and simple neural data processing pipelines, especially for unstructured multi-modal data using LLMs.

A collaborative, spreadsheet-like platform for building, experimenting with, and evaluating AI applications, especially those leveraging Retrieval-Augmented Generation (RAG).

PySpur is a visual playground designed to accelerate the iteration, debugging, and deployment of AI agents, helping engineers overcome common challenges like prompt hell and workflow blindspots.

A multi-model AI workflow engine that orchestrates Codex, Gemini, and Claude to automate complex tasks with intelligent strategy selection and parallel execution.