AI Agents & Orchestration AI Tools
Open-source frameworks for building AI agents, chaining LLM calls, structured generation, and multi-step reasoning workflows.
Open-source frameworks for building AI agents, chaining LLM calls, structured generation, and multi-step reasoning workflows.
Data framework for LLM applications with data ingestion and indexing
Framework for building applications with large language models
Open-source platform for building LLM applications with visual workflow editor.
Microsoft's framework for building multi-agent AI systems
Integration platform providing 250+ tools for AI agents and LLMs.
Python framework for building AI workflows with structured task management.
Open-source web crawling library optimized for LLM and AI applications.
Framework by Stanford for programming with foundation models using optimized prompts.
Framework for building LLM agents with persistent memory and self-editing.
Memory layer for AI assistants enabling persistent personalized interactions.
Workflow automation platform with AI agent capabilities and 400+ integrations.
Toolkit by NVIDIA for adding programmable guardrails to LLM-based applications.
LLM integration SDK by Microsoft for C#, Python, and Java applications.
Lightweight agent framework by Hugging Face for building tool-using AI agents.
Structured text generation library using constrained decoding with FSMs.
Language for controlling LLM generation with constrained output by Microsoft.
Framework for adding validation and safety guardrails to LLM outputs.
Agent framework by the Pydantic team with type-safe LLM interactions.
Visual AI programming environment for building AI agent workflows.
Programming language for LLM interaction with constraints and control flow.
Framework for building AI assistants with memory, knowledge, and tools.
End-to-end NLP framework for building search and QA systems
Runtime platform that turns AI agents into production services with sessions and observability.
Python agent framework that brings Pydantic-style type safety to LLM applications.
Platform for building stateful AI agents with advanced long-term memory and self-improvement.
Visual framework for building multi-agent and RAG applications.
Visual interface for building and testing AutoGen multi-agent workflows.