#LLM Framework

#1

AutoAgent

Open-source zero-code LLM framework to create and deploy multi-agent workflows via natural language.

#2

Langroid

An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.

#3

MemGPT

An AI framework that equips large language models with long-term memory and self-editing capabilities for unbounded context management.

Rust framework for building LLM-powered applications with type-safe ergonomics.

#5

DSPy

An open-source Python framework for programming language models, enabling rapid development of modular AI systems with optimization capabilities.

#6

Haystack

Open-source Python framework for building LLM and RAG applications in production.

#7

AgentVerse

Open-source framework for orchestrating multi-agent LLM systems in tasks and simulations.

#8

Eidolon

Open-source AI agent server for building and deploying enterprise generative AI applications.

#9

Ax

Open-source TypeScript framework for building LLM agents and agentic workflows.

#10

Haystack AI

Open-source Python framework for building search, RAG, and LLM-powered applications.

#11

Mini LLM Flow

Minimalist 100-line LLM framework for building self-programming agent workflows

#12

Agency

Minimal open-source framework for building LLM-powered agent systems

#13

AutoML-Agent

Open-source multi-agent LLM framework that automates end-to-end machine learning pipelines.

Open-source framework and platform for building, deploying, and monitoring reliable LLM-powered agents.

Type-safe, testable AI functions for building reliable LLM-powered applications.

#16

Crew AI

Open-source framework for orchestrating role-based AI agent teams

#17

LangChain Agent

Open-source framework for building LLM-powered applications and autonomous agents.

#18

GenSphere

Declarative framework for building, sharing, and composing modular LLM applications.