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Evo.ninja is an open-source AI agent that dynamically selects specialized personas in real-time to efficiently handle diverse tasks. It employs predefined agent personas tailored to specific domains, such as data analysis, research, and software development. Through a continuous execution loop, Evo.ninja predicts the best next step, selects the most suitable persona, contextualizes relevant information, and executes the appropriate function to achieve user goals.

Evo.ninja

evo-ninja

An adaptive AI agent utilizing specialized personas for efficient task execution.

Local GPT is an open-source tool that allows users to chat with their documents securely using local GPT models. It ensures that all data processing occurs on the user's device, maintaining complete privacy. The tool supports various open-source models, including HF, GPTQ, GGML, and GGUF formats, and offers diverse embedding options. It features a user-friendly interface with both API-based and standalone versions, and supports multiple platforms such as GPU (CUDA), CPU, and MPS.

Local GPT

local-gpt

An open-source tool enabling private document interactions using local GPT models.

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.

CRAB (Cross-environment Agent Benchmark) is an open-source framework developed by CAMEL-AI for constructing and evaluating environments designed for large language model (LLM) agents. It supports the creation of cross-platform environments, enabling deployment across in-memory systems, Docker-hosted environments, virtual machines, or distributed physical machines. CRAB introduces a graph-based fine-grained evaluation method and an efficient mechanism for task and evaluator construction, facilitating comprehensive assessment of agent performance across diverse settings.

CRAB: Cross-environment Agent Benchmark

crab-cross-environment-agent-benchmark

An open-source framework for building and benchmarking environments tailored for large language model (LLM) agents across multiple platforms.

FastAgency is an open-source framework designed to streamline the transition of multi-agent AI workflows from prototype to production. It offers a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows.

FastAgency

fastagency

An open-source framework that accelerates the deployment of multi-agent AI workflows from prototype to production.

Vocode is an open-source voice AI platform that enables developers to create, deploy, and scale hyper-realistic voice agents for a wide range of applications. With features like customizable voices, multilingual support, and seamless integration into existing workflows, Vocode allows businesses to automate tasks such as scheduling, payments, and customer interactions without human intervention. The platform offers a developer-friendly API for quick setup and provides analytics tools to monitor bot performance, enhancing customer engagement and operational efficiency.

Vocode

vocode

An open-source platform for building, deploying, and scaling hyper-realistic voice AI agents across various applications.

Biliki AI is an innovative travel planning platform that leverages artificial intelligence to provide personalized and sustainable travel itineraries. By specifying your destination, budget, and travel dates, Biliki AI generates detailed plans that include eco-friendly accommodations, green travel options, and activities aimed at reducing your carbon footprint. The platform is committed to environmental responsibility, partnering with organizations like Just One Tree to plant a tree for every booking made, thereby contributing to global reforestation efforts.

Biliki AI

biliki-ai

An AI-powered platform offering personalized, eco-friendly travel itineraries to promote sustainable tourism.

Project Mariner is an AI agent prototype from Google DeepMind, designed to autonomously execute tasks within the Chrome browser. By controlling web navigation, Mariner can perform actions such as online shopping and information retrieval, aiming to enhance user productivity by automating routine web-based tasks. Currently in early testing phases, Mariner represents a significant step in integrating AI agents into daily digital interactions, operating under user supervision to ensure accuracy and relevance.

Project Mariner

project-mariner

An experimental AI agent developed by Google DeepMind that autonomously navigates the web to perform tasks on behalf of users.

Nelima is an innovative AI platform designed to perform actions on behalf of users through natural language prompts. As a community-driven Large Action Model (LAM), it allows users to create and share custom actions, thereby expanding its capabilities collaboratively. Nelima can automate a wide range of tasks, such as sending emails, connecting applications via APIs, analyzing code, and scheduling appointments. By leveraging the collective contributions of its user base, Nelima continuously evolves, offering a versatile solution for workflow automation and task execution.

Nelima

nelima

A community-driven AI platform that executes tasks via natural language commands, enabling users to automate workflows and integrate custom actions.

Teenage-AGI is an open-source Python project that enhances AI agents with memory retention and deliberative processing. Inspired by projects like BabyAGI and the research paper 'Generative Agents: Interactive Simulacra of Human Behavior,' it utilizes OpenAI's GPT-4 for language generation and Pinecone for vector-based memory storage. This architecture allows the agent to recall past interactions and 'think' before responding, leading to more coherent and contextually relevant conversations. Notably, the agent's memories persist across sessions, as they are stored in Pinecone's vector database.

Teenage-AGI

teenage-agi

An open-source AI agent that integrates memory and deliberation capabilities, enabling context-aware and thoughtful responses.

MADS is an open-source framework designed to automate data science pipelines using a multi-agent system. By requiring only two inputs, it streamlines the process of generating machine learning models, performing analyses, and producing reports. MADS facilitates rapid prototyping and enables non-technical users to generate predictions effortlessly. Its modular architecture allows for the integration of various tools to enhance forecasting, model optimization, and data visualization, thereby accelerating business decision-making and automating compliance reporting.

MADS

mads

An open-source multi-agent framework that automates data science pipelines with minimal input.

AI Agents for "Technology" Industry, free pricing