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"LLM integration" tagged AI Agents | AI Agent Store

Millis AI is a cutting-edge platform that empowers developers and non-technical users to create and deploy advanced voice agents with unprecedented 600ms latency. Designed to deliver seamless, human-like interactions, Millis AI supports integration with Large Language Models (LLMs) such as OpenAI's GPT-4o and open-source models like Mistral and Llama. The platform offers no-code/low-code tools, allowing users to build voice applications in minutes, connect phone numbers for inbound and outbound calls in over 100 countries, and integrate with various services through webhooks. With affordable pricing starting at $0.02 per minute, Millis AI makes advanced voice AI accessible for applications ranging from customer support to virtual assistants.

Millis AI

millis-ai

An AI-powered platform for building advanced voice agents with ultra-low 600ms latency, enabling seamless and natural conversational experiences.

AgentForge is a low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and cognitive architectures. It supports multiple Large Language Models (LLMs), including OpenAI, Google's Gemini, Anthropic's Claude, and local models via Ollama or LMStudio. The platform offers customizable agents with features like dynamic prompt templates, on-the-fly prompt editing, and custom tools and actions. Its database-agnostic design ensures seamless integration with various databases, making it adaptable for diverse AI projects.

AgentForge

agentforge

Low-code framework for rapid development of AI-powered autonomous agents and cognitive architectures.

Graphlit is a serverless Retrieval-Augmented Generation (RAG)-as-a-Service platform designed to accelerate the development of AI-powered applications and agents that utilize unstructured data. It offers automated ETL processes, seamless integration with Large Language Models (LLMs), and supports multimodal data types, including text, audio, video, and images. Graphlit provides tools for data ingestion, text extraction, vector embeddings, and conversation history management, enabling developers to build advanced AI solutions efficiently.

Graphlit

graphlit

A serverless RAG-as-a-Service platform for building AI-powered applications and agents with unstructured data.

Gentoro is a pioneering platform designed to seamlessly integrate Large Language Models (LLMs) with enterprise applications. It automates the creation and execution of functions, allowing AI agents to interact dynamically with systems such as CRMs, ERPs, and Electronic Medical Records. Gentoro's Model Context Protocol (MCP) facilitates intelligent tool interaction, reducing manual setup and enhancing workflow efficiency. The platform emphasizes security and privacy, incorporating policy-driven measures and advanced anonymization techniques to protect sensitive data. By continuously refining AI responses based on real-world interactions, Gentoro ensures accurate and reliable outputs, making it an ideal solution for enterprises aiming to leverage AI capabilities without compromising on security or efficiency.

Gentoro

gentoro

A platform that bridges Large Language Models (LLMs) with enterprise applications, enabling secure and efficient AI integration.

Firecrawl AI is an advanced developer platform designed to streamline web data extraction for AI applications. It enables users to scrape, crawl, and extract data from websites, converting them into clean, Large Language Model (LLM)-ready formats such as markdown or structured data. With capabilities to handle dynamic JavaScript-rendered content, manage proxies, and bypass anti-bot mechanisms, Firecrawl AI simplifies the integration of web data into AI models and applications. It offers both open-source and hosted versions, providing flexibility for various use cases.

Firecrawl AI

firecrawl-ai

An AI-powered platform that transforms entire websites into clean, LLM-ready markdown or structured data through a single API.

Langroid is an open-source Python framework designed to streamline the development of applications powered by Large Language Models (LLMs). It introduces a multi-agent programming paradigm, treating agents as first-class citizens to manage multiple LLM conversations, each responsible for different aspects of a task. This approach facilitates efficient collaboration through message exchange, enabling developers to build complex, intelligent applications with ease. Langroid supports integration with various LLMs, vector databases, and function-calling tools, offering a modular and extensible architecture for AI application development.

Langroid

langroid

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

Ax is an open-source TypeScript framework designed to facilitate the development of agents and workflows powered by large language models (LLMs). Inspired by Stanford's DSPy paper, Ax provides tools for creating chat interfaces, retrieval-augmented generation (RAG) systems, streaming applications, and multi-modal interactions. It supports various LLMs and vector databases, offers automatic prompt generation from simple signatures, and includes features like output validation during streaming, multi-agent orchestration, and OpenTelemetry tracing for observability. Ax aims to streamline the creation of efficient, production-ready AI applications.

An open-source TypeScript framework for building LLM-powered agents and agentic workflows.

LiteLLM is an open-source toolkit that streamlines interactions with over 100 large language models (LLMs) by providing a unified API in the OpenAI format. It offers both a Python SDK and a proxy server (LLM Gateway) to manage authentication, load balancing, and spend tracking across various LLM providers, including OpenAI, Azure OpenAI, Vertex AI, and Amazon Bedrock. LiteLLM supports features such as retry and fallback logic, rate limiting, and logging integrations with tools like Langfuse and OpenTelemetry. It is designed to simplify the integration of multiple LLMs into applications, ensuring consistent output formats and efficient resource management.

LiteLLM

litellm

An open-source Python SDK and proxy server for managing authentication, load balancing, and spend tracking across 100+ LLMs using a unified OpenAI format.

Marvin is a lightweight AI engineering framework designed to facilitate the development of natural language interfaces that are reliable, scalable, and easy to trust. It provides a suite of tools for common large language model (LLM) use cases, including entity extraction, classification, and synthetic data generation. Marvin's components are simple and self-documenting, allowing developers to integrate AI functionalities into their applications with minimal effort. The framework supports multi-modal inputs, including text, images, and audio, making it versatile for various AI-powered applications.

Marvin

marvin

An open-source AI engineering framework for building reliable, scalable, and trustworthy natural language interfaces.

ControlFlow is an open-source Python framework developed by Prefect for orchestrating AI-powered workflows. It enables developers to break down complex AI tasks into discrete, manageable steps, assign specialized AI agents to each task, and combine these tasks into cohesive flows. ControlFlow integrates seamlessly with large language models (LLMs) like OpenAI's GPT-4 and Anthropic's Claude, allowing for flexible and transparent AI development. Key features include structured results, multi-agent orchestration, and native observability, making it suitable for building robust, intelligent applications.

ControlFlow

controlflow

A Python framework for building agentic AI workflows with task-centric design.

Griptape is a modular open-source Python framework that enables developers to build and deploy AI-powered applications utilizing large language models (LLMs). It provides clean and clear abstractions for creating agents, pipelines, workflows, and retrieval-augmented generation (RAG) implementations without extensive prompt engineering. Griptape's composability makes it ideal for developing conversational and event-driven AI applications that can access and manipulate data securely and reliably. The framework supports integration with various data sources and APIs, facilitating the development of scalable and efficient AI solutions.

Griptape

griptape

A modular open-source Python framework for building and deploying LLM-based agents, pipelines, and workflows.

AutoGen is an open-source programming framework developed by Microsoft for constructing AI agent systems. It streamlines the development of event-driven, distributed, scalable, and resilient agentic applications, enabling the creation of systems where AI agents collaborate to perform tasks autonomously or with human oversight. AutoGen supports asynchronous message passing between agents, integration of large language models (LLMs), and advanced multi-agent design patterns, facilitating the orchestration, automation, and optimization of complex LLM workflows.

AutoGen

autogen

An open-source framework for building AI agent systems, simplifying the creation of event-driven, distributed, scalable, and resilient agentic applications.

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