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.
Open-source platform for building LLM applications with visual workflow editor.
Framework by Stanford for programming with foundation models using optimized prompts.
Visual framework for building multi-agent and RAG applications.
Workflow automation platform with AI agent capabilities and 400+ integrations.
Lightweight agent framework by Hugging Face for building tool-using AI agents.
Framework for building LLM agents with persistent memory and self-editing.
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.
Toolkit by NVIDIA for adding programmable guardrails to LLM-based applications.
Agent framework by the Pydantic team with type-safe LLM interactions.
Integration platform providing 250+ tools for AI agents and LLMs.
Memory layer for AI assistants enabling persistent personalized 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.
Python framework for building AI workflows with structured task management.
Visual interface for building and testing AutoGen multi-agent workflows.
LLM integration SDK by Microsoft for C#, Python, and Java applications.
Open-source web crawling library optimized for LLM and AI applications.