LLM integration category AI agents: Explore our directory of certified digital assistants and AI automation tools for enhanced productivity.

"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.

Blinky is an open-source AI debugging agent integrated into Visual Studio Code (VSCode). It leverages Large Language Models (LLMs) to help developers identify and fix backend code errors efficiently. By utilizing the VSCode API, Language Server Protocol (LSP), and print statement debugging, Blinky triangulates and addresses bugs in real-world backend systems. The agent operates through an interactive chat interface within VSCode, allowing developers to describe issues, specify reproduction steps, and provide feedback during the debugging process. Inspired by SWE-agent, Blinky aims to enhance the debugging experience by automating error detection and correction.

Blinky: AI Debugging Agent

blinky-ai-debugging-agent

An open-source AI debugging agent for VSCode that uses LLMs to identify and fix backend code errors.

BabyCommandAGI is an open-source AI agent designed to explore the integration of Command-Line Interface (CLI) and Large Language Models (LLMs) for autonomous command execution. Built upon the BabyAGI framework, it leverages models like GPT-4o to interpret objectives, plan tasks, and execute commands within a CLI environment. This integration aims to automate complex workflows, including programming, environment setup, and data retrieval, by enabling dynamic interactions between LLMs and traditional CLI operations.

BabyCommandAGI

babycommandagi

An AI agent that integrates CLI and LLM to autonomously execute commands towards defined objectives.

AI Legion is an open-source platform designed to facilitate the creation of autonomous AI agents capable of collaborating to achieve complex objectives. Leveraging large language models (LLMs) like GPT-3.5 and GPT-4, it supports multi-agent interactions, web search capabilities, and offers a configurable environment for flexible agent management. Written in TypeScript, AI Legion enables interaction with agents via console direct messages, making it accessible for developers aiming to implement AI-driven automation and problem-solving solutions.

AI Legion

ai-legion

An open-source platform for creating autonomous AI agents that collaborate to accomplish tasks.

Bolt.diy is an open-source platform that allows developers to prompt, run, edit, and deploy full-stack web applications using any Large Language Model (LLM) of their choice. It supports integration with multiple LLMs, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq models. The platform is designed to be easily extensible, enabling users to incorporate additional models as needed. Bolt.diy provides a comprehensive environment for AI-assisted coding, facilitating the development of web applications directly in the browser.

Bolt.diy

bolt-diy

Open-source platform enabling AI-powered full-stack web development using any LLM.

Datamatics TruAgentic is a low-code platform that enables businesses to design, deploy, and manage AI agents for automating complex, goal-oriented processes. By integrating with large language models (LLMs) and supporting bring-your-own-model (BYOM) capabilities, TruAgentic allows for the creation of autonomous agents that adapt to dynamic conditions without human intervention. The platform offers a visual designer with ready-made drag-and-drop components, facilitating rapid development and deployment of AI agents. With features like multi-agent collaboration and real-time adaptability, TruAgentic helps organizations enhance operational efficiency and reduce manual efforts.

Datamatics TruAgentic

datamatics-truagentic

A low-code platform for creating and managing AI agents to automate complex business processes.

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.

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